What Jobs are available for Machine Learning Engineering in India?
Showing 1459 Machine Learning Engineering jobs in India
AI Machine Learning Engineering Apprentice
160001 Chandigarh, Chandigarh
₹25000 Monthly
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client is offering a unique opportunity for aspiring individuals to join their cutting-edge AI research and development team as an AI Machine Learning Engineering Apprentice. This is a fully remote, immersive learning experience designed to provide hands-on training and mentorship in the field of machine learning and artificial intelligence. Apprentices will work alongside experienced engineers and data scientists on real-world projects, gaining practical skills in model development, data preprocessing, algorithm implementation, and performance evaluation. The program focuses on building a strong foundation in ML concepts, including supervised and unsupervised learning, deep learning, and natural language processing. Apprentices will contribute to the development and deployment of innovative AI solutions, learning to use industry-standard tools and programming languages such as Python, TensorFlow, and PyTorch. This role requires a strong aptitude for problem-solving, a passion for technology, and a keen interest in AI. You will be expected to actively participate in team meetings, contribute to code reviews, and document your work. This apprenticeship is an excellent stepping stone for individuals looking to launch a career in AI engineering. Successful completion of the program may lead to full-time employment opportunities. The remote nature of this apprenticeship requires candidates to be self-motivated, organized, and proficient in virtual collaboration tools. We are looking for curious minds eager to learn and contribute to groundbreaking AI advancements.
Key Qualifications:
Key Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field.
- Foundational understanding of programming concepts, preferably in Python.
- Basic knowledge of machine learning principles and algorithms is a plus.
- Strong analytical and problem-solving skills.
- Eagerness to learn and adapt to new technologies.
- Excellent communication and teamwork skills.
- Ability to work independently and manage time effectively in a remote environment.
- Passion for artificial intelligence and its applications.
- A portfolio or personal projects demonstrating interest in ML/AI is advantageous.
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0
Lead Engineer, Machine Learning Engineering
Pune, Maharashtra
Mastercard
Posted 5 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead Engineer, Machine Learning Engineering
Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.
We are currently looking for a 'Lead Engineer, Machine Learning Engineering' for Operational Intelligence Program, within B&MI group. This role will lead ML engineering team to execute on AI/ML strategy for the program that enables business growth, enhances customer experience, and ensures delivery of secure, scalable, and high-performing software solutions. As a technology leader, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team.
Roles and Responsibilities:
This position provides technical leadership to diverse technology teams building innovative technical solutions to cater to internal and external customer requirements. Major accountabilities:
- Execute on strategic vision for machine learning projects and initiatives within the program. Possess expert-level hands-on experience designing, developing, and deploying AI/ML models and systems. Lead technical discussions and provide valuable insight and guidance on technology approach and processes.
- Stay abreast of the latest advancements in machine learning and AI technologies. Research on current and upcoming technologies and application frameworks and provide recommendations.
- Work closely with business partners on product definition, product roadmaps, business case development, and overall direction.
- Drive scalability, security, and performance across all software solutions and platforms. Ensure product compliance to regulatory and industry standards.
- Drive next gen technology innovation to enhance product value proposition and improve customer experience. Foster a culture of day-to-day innovation within the team.
- Lead and mentor global team members, ensuring development of robust, high-quality, and scalable software, while creating an inspiring, exciting and performance-driven work environment for the team.
- Foster a culture of collaboration, accountability, innovation, and continuous learning.
- Help attract, hire and develop world-class engineering talent and be a force driving their performance and growth
All About You:
- Master's/bachelor's degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs.
- Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions.
- Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
- Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks. Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.
- Strong programming skills in languages such as Java/Python/SQL is a must. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.
- Responsible AI knowledge: Awareness of the principles and practices surrounding responsible AI, including fairness, transparency, accountability, and ethics in AI deployments.
- High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment, along with a high degree of initiative and self-motivation to drive results.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead Engineer, Machine Learning Engineering
Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.
We are currently looking for a 'Lead Engineer, Machine Learning Engineering' for Operational Intelligence Program, within B&MI group. This role will lead ML engineering team to execute on AI/ML strategy for the program that enables business growth, enhances customer experience, and ensures delivery of secure, scalable, and high-performing software solutions. As a technology leader, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team.
Roles and Responsibilities:
This position provides technical leadership to diverse technology teams building innovative technical solutions to cater to internal and external customer requirements. Major accountabilities:
- Execute on strategic vision for machine learning projects and initiatives within the program. Possess expert-level hands-on experience designing, developing, and deploying AI/ML models and systems. Lead technical discussions and provide valuable insight and guidance on technology approach and processes.
- Stay abreast of the latest advancements in machine learning and AI technologies. Research on current and upcoming technologies and application frameworks and provide recommendations.
- Work closely with business partners on product definition, product roadmaps, business case development, and overall direction.
- Drive scalability, security, and performance across all software solutions and platforms. Ensure product compliance to regulatory and industry standards.
- Drive next gen technology innovation to enhance product value proposition and improve customer experience. Foster a culture of day-to-day innovation within the team.
- Lead and mentor global team members, ensuring development of robust, high-quality, and scalable software, while creating an inspiring, exciting and performance-driven work environment for the team.
- Foster a culture of collaboration, accountability, innovation, and continuous learning.
- Help attract, hire and develop world-class engineering talent and be a force driving their performance and growth
All About You:
- Master's/bachelor's degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs.
- Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions.
- Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
- Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks. Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.
- Strong programming skills in languages such as Java/Python/SQL is a must. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.
- Responsible AI knowledge: Awareness of the principles and practices surrounding responsible AI, including fairness, transparency, accountability, and ethics in AI deployments.
- High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment, along with a high degree of initiative and self-motivation to drive results.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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This advertiser has chosen not to accept applicants from your region.
1
Senior Engineer, Machine Learning Engineering-1
Pune, Maharashtra
Mastercard
Posted 5 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Engineer, Machine Learning Engineering-1
Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.
We are currently looking for a 'Senior Engineer, Machine Learning Engineering' for Operational Intelligence Program, within B&MI group. This role would entail development and delivery of secure, scalable, and high-performing AI/ML solutions. As a senior technologist, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team.
Roles and Responsibilities:
- Execute on strategic vision for machine learning projects and initiatives within the program. Possess advanced-level hands-on experience designing, developing, and deploying AI/ML models and systems.
- Stay abreast of the latest advancements in machine learning and AI technologies. Research on current and upcoming technologies and application frameworks and provide recommendations.
- Work closely with business partners on product definition, product roadmaps, business case development, and overall direction.
- Drive scalability, security, and performance across all software solutions and platforms. Ensure product compliance to regulatory and industry standards.
- Drive next gen technology innovation to enhance product value proposition and improve customer experience. Foster a culture of day-to-day innovation within the team.
- Mentor global team members, ensuring development of robust, high-quality, and scalable software, while creating an inspiring, exciting and performance-driven work environment within the team.
- Foster a culture of collaboration, accountability, innovation, and continuous learning.
- Deliver on any other organizational assignments and responsibilities assigned from time to time.
All About You:
- Master's/bachelor's degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully building complex projects/products and delivering to aggressive market needs.
- Advanced-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions.
- Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
- Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks. Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.
- Strong programming skills in languages such as Java/Python/SQL is a must. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.
- High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment, along with a high degree of initiative and self-motivation to drive results.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Engineer, Machine Learning Engineering-1
Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.
We are currently looking for a 'Senior Engineer, Machine Learning Engineering' for Operational Intelligence Program, within B&MI group. This role would entail development and delivery of secure, scalable, and high-performing AI/ML solutions. As a senior technologist, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team.
Roles and Responsibilities:
- Execute on strategic vision for machine learning projects and initiatives within the program. Possess advanced-level hands-on experience designing, developing, and deploying AI/ML models and systems.
- Stay abreast of the latest advancements in machine learning and AI technologies. Research on current and upcoming technologies and application frameworks and provide recommendations.
- Work closely with business partners on product definition, product roadmaps, business case development, and overall direction.
- Drive scalability, security, and performance across all software solutions and platforms. Ensure product compliance to regulatory and industry standards.
- Drive next gen technology innovation to enhance product value proposition and improve customer experience. Foster a culture of day-to-day innovation within the team.
- Mentor global team members, ensuring development of robust, high-quality, and scalable software, while creating an inspiring, exciting and performance-driven work environment within the team.
- Foster a culture of collaboration, accountability, innovation, and continuous learning.
- Deliver on any other organizational assignments and responsibilities assigned from time to time.
All About You:
- Master's/bachelor's degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully building complex projects/products and delivering to aggressive market needs.
- Advanced-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions.
- Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
- Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks. Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.
- Strong programming skills in languages such as Java/Python/SQL is a must. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.
- High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment, along with a high degree of initiative and self-motivation to drive results.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist - Machine Learning Engineering
570001 Mysore, Karnataka
₹120000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology company renowned for its innovative solutions, is seeking a highly accomplished Senior Data Scientist specializing in Machine Learning Engineering to join their fully remote team. This position is ideal for a seasoned professional who thrives in a collaborative, virtual environment and possesses a deep expertise in building, deploying, and scaling machine learning models. You will be instrumental in driving data-driven product development, leveraging advanced statistical techniques and ML algorithms to solve complex business challenges. The role demands a proactive individual who can lead projects, mentor junior data scientists, and contribute significantly to the company's technical roadmap.
Responsibilities:
Qualifications:
This is an exciting opportunity to work on challenging problems and make a significant impact within a globally recognized tech leader. This role is based in Mysuru, Karnataka , operating fully remotely.
Responsibilities:
- Design, develop, and implement scalable machine learning models and algorithms to address business needs.
- Conduct advanced statistical analysis and data mining to extract actionable insights from large datasets.
- Build and maintain robust data pipelines for model training and inference.
- Deploy machine learning models into production environments and monitor their performance.
- Collaborate closely with software engineers and product managers to integrate ML solutions into products and services.
- Perform feature engineering, model selection, hyperparameter tuning, and model evaluation.
- Stay current with the latest research and advancements in machine learning, deep learning, and artificial intelligence.
- Mentor and guide junior data scientists and engineers.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical stakeholders.
- Contribute to the architectural decisions and technical strategy for the data science and ML platform.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning, with a strong emphasis on ML engineering.
- Proven experience in building and deploying production-level machine learning models.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
- Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Solid understanding of statistical modeling, experimental design, and hypothesis testing.
- Experience with MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote team.
- Experience leading technical projects and mentoring junior team members.
This is an exciting opportunity to work on challenging problems and make a significant impact within a globally recognized tech leader. This role is based in Mysuru, Karnataka , operating fully remotely.
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3
Junior Data Scientist - Machine Learning Engineering
122001 Gurgaon, Haryana
₹25000 Monthly
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and bright Junior Data Scientist to join our dynamic machine learning engineering team in Gurugram, Haryana, IN . This is an excellent opportunity for an aspiring data professional to gain hands-on experience in developing and deploying cutting-edge AI models. You will work under the guidance of experienced data scientists and engineers, contributing to projects that drive innovation and solve complex business problems. The ideal candidate will possess a strong foundation in statistics, programming, and machine learning algorithms, coupled with a keen desire to learn and grow. You will be involved in data preprocessing, model training, evaluation, and assisting in the deployment of ML solutions. This role offers exposure to a wide range of ML techniques and real-world applications. Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Collaborate with senior data scientists to develop and implement machine learning models.
- Perform exploratory data analysis (EDA) to identify trends and insights.
- Train, test, and evaluate the performance of machine learning algorithms.
- Contribute to the development and maintenance of ML pipelines.
- Document methodologies, code, and results clearly and concisely.
- Assist in the interpretation of model outputs and the generation of actionable recommendations.
- Participate in team meetings, brainstorming sessions, and code reviews.
- Learn and apply new data science techniques and tools as needed.
- Support the deployment and monitoring of machine learning models in production environments.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong understanding of fundamental machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python or R.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic knowledge of SQL for data retrieval and manipulation.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and a commitment to producing accurate results.
- Eagerness to learn and adapt to new technologies and methodologies.
- Good communication and teamwork abilities.
- Previous internship or project experience in data science or machine learning is a plus.
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4
Manager, Machine Learning Engineering - Video AI Team, Bangalore
Bangalore, Karnataka
Warner Bros. Discovery
Posted 5 days ago
Job Viewed
Job Description
**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**Manager MLE, Video AI Team - Bangalore, India.**
**About Warner Bros. Discovery:**
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit .
**Roles & Responsibilities:**
We are looking for a passionate Manager Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide.
+ Contribute to building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across Max, Discovery+ and other WBD offerings
+ Contribute on building machine learning systems and operations for personalization.
+ Collaborate with applied data science engineers to improve quality, stability, resilience of search and personalization platforms
+ Drive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and models
+ Collaborate with platform, content, user data and product partners as Max expands to new markets around the globe
+ Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers
**What to Bring:**
+ 12-15 years total experience with 3+ years of leading and managing a software development team (providing coaching, mentoring, setting goals, and recruiting talent)
+ Experience contributing to machine learning driven, large-scale distributed systems with large scale customer base
+ Good practical knowledge in modern machine learning lifecycle.
+ Ability to technically collaborate with partners
+ Excellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call support
+ Experience with one of the cloud platforms AWS/GCP/Azure
+ Experience with Docker and Kubernetes.
+ Good understanding of machine learning platform
+ Experience with CI/CD tools like GitHub Actions, Jenkins etc.
+ Familiarity with agile practices and processes
**Preferred:**
+ Hands-on experience on machine learning platform
+ Working experience with global teams
+ Front-end development experience using frameworks like ReactJS
+ Programming experience in Java/Go
+ Data Modeling experience
**What We Offer:**
+ A Great Place to work.
+ Equal opportunity employer
+ Fast track growth opportunities
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**Manager MLE, Video AI Team - Bangalore, India.**
**About Warner Bros. Discovery:**
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit .
**Roles & Responsibilities:**
We are looking for a passionate Manager Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide.
+ Contribute to building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across Max, Discovery+ and other WBD offerings
+ Contribute on building machine learning systems and operations for personalization.
+ Collaborate with applied data science engineers to improve quality, stability, resilience of search and personalization platforms
+ Drive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and models
+ Collaborate with platform, content, user data and product partners as Max expands to new markets around the globe
+ Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers
**What to Bring:**
+ 12-15 years total experience with 3+ years of leading and managing a software development team (providing coaching, mentoring, setting goals, and recruiting talent)
+ Experience contributing to machine learning driven, large-scale distributed systems with large scale customer base
+ Good practical knowledge in modern machine learning lifecycle.
+ Ability to technically collaborate with partners
+ Excellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call support
+ Experience with one of the cloud platforms AWS/GCP/Azure
+ Experience with Docker and Kubernetes.
+ Good understanding of machine learning platform
+ Experience with CI/CD tools like GitHub Actions, Jenkins etc.
+ Familiarity with agile practices and processes
**Preferred:**
+ Hands-on experience on machine learning platform
+ Working experience with global teams
+ Front-end development experience using frameworks like ReactJS
+ Programming experience in Java/Go
+ Data Modeling experience
**What We Offer:**
+ A Great Place to work.
+ Equal opportunity employer
+ Fast track growth opportunities
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
5
Artificial Intelligence Engineer
Hyderabad, Andhra Pradesh
Teradata
Posted 1 day ago
Job Viewed
Job Description
**Our Company:**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
**What you will do:**
In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
**Job Responsibilities:**
+ Contribute to the design and development of software components that enable **autonomous AI agents** to reason, plan, act, and learn.
+ Implement features that support agentic capabilities such as **tool use, memory, long-term planning, task execution** , and self-reflection.
+ Integrate with state-of-the-art LLMs (e.g., OpenAI, Anthropic) and **agent orchestration frameworks** (e.g., LangChain, CrewAI, AutoGen).
+ Write, test, and debug Python or other backend code that powers **agent workflows** in cloud-native environments.
+ Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications.
+ Participate in Agile development workflows - sprint planning, code reviews, retrospectives - and collaborate across AI, product, and engineering teams.
+ Work with structured and unstructured data to support **context-aware reasoning and decision-making** in agents.
+ Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors.
+ Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP).
+ Maintain documentation of agent capabilities, system design, and integration strategies.
**What makes you a qualified candidate:**
+ 1-3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications.
+ Strong interest in **Agentic AI** - systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes.
+ Familiarity with one or more programming languages: **Python** (preferred), Go, Java, or C++.
+ Exposure to LLMs and AI APIs (e.g., OpenAI, Hugging Face, Claude) and understanding of **prompting, embeddings, or vector databases** .
+ Basic understanding of how AI agents use tools and memory to solve complex tasks.
+ Experience with RESTful APIs, backend service design, and microservice architectures.
+ Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications.
+ Ability to write clean, testable code and follow best practices in code reviews and version control.
+ Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams.
+ Passion for learning emerging AI techniques and contributing to real-world agentic applications.
**What you will bring:**
+ BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field.
+ Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming.
+ Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker.
+ Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
+ Curiosity and excitement about **building intelligent systems that act autonomously and adaptively** .
+ A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities.
**Why we think you will love Teradata:**
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
#LI-NT1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
**What you will do:**
In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
**Job Responsibilities:**
+ Contribute to the design and development of software components that enable **autonomous AI agents** to reason, plan, act, and learn.
+ Implement features that support agentic capabilities such as **tool use, memory, long-term planning, task execution** , and self-reflection.
+ Integrate with state-of-the-art LLMs (e.g., OpenAI, Anthropic) and **agent orchestration frameworks** (e.g., LangChain, CrewAI, AutoGen).
+ Write, test, and debug Python or other backend code that powers **agent workflows** in cloud-native environments.
+ Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications.
+ Participate in Agile development workflows - sprint planning, code reviews, retrospectives - and collaborate across AI, product, and engineering teams.
+ Work with structured and unstructured data to support **context-aware reasoning and decision-making** in agents.
+ Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors.
+ Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP).
+ Maintain documentation of agent capabilities, system design, and integration strategies.
**What makes you a qualified candidate:**
+ 1-3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications.
+ Strong interest in **Agentic AI** - systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes.
+ Familiarity with one or more programming languages: **Python** (preferred), Go, Java, or C++.
+ Exposure to LLMs and AI APIs (e.g., OpenAI, Hugging Face, Claude) and understanding of **prompting, embeddings, or vector databases** .
+ Basic understanding of how AI agents use tools and memory to solve complex tasks.
+ Experience with RESTful APIs, backend service design, and microservice architectures.
+ Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications.
+ Ability to write clean, testable code and follow best practices in code reviews and version control.
+ Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams.
+ Passion for learning emerging AI techniques and contributing to real-world agentic applications.
**What you will bring:**
+ BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field.
+ Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming.
+ Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker.
+ Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
+ Curiosity and excitement about **building intelligent systems that act autonomously and adaptively** .
+ A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities.
**Why we think you will love Teradata:**
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
#LI-NT1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
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This advertiser has chosen not to accept applicants from your region.
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Culture: Humility, teamwork, integrity, resilienc
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Artificial Intelligence Engineer
Hyderabad, Andhra Pradesh
Capabiliq INC
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We’re Hiring: AI Engineer
Join one of the most exciting opportunities in the AI world!
Our client — a US-based, AI-funded startup (Series B) — is building something truly revolutionary in the field of Artificial Intelligence, and we’re looking for passionate engineers to be part of this journey.
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Payroll: AI Funded US Startup (Series B)
Location: Hyderabad
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Working Days: Monday to Friday
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Debales AI
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About Debales AI
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Role Overview
We're looking for a Full-Time AI Developer to design, build, and deploy AI Agents into production environments. You'll work directly on LangGraph / LangChain-based pipelines and play a key role in architecting multi-agent systems that interact with real customer data and workflows.
This role is ideal for someone who loves hands-on building, fast iteration, and ownership.
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- Hands-on experience with LangGraph and LangChain.
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- Experience with RAG, embeddings, vector databases, and NLP pipelines.
- Familiarity with AI observability tools (e.g., Langfuse, Phoenix, OpenTelemetry, W&B, Honeycomb).
- Proficient in Python for backend and orchestration.
- Strong problem-solving skills, self-directed, comfortable in fast-paced environments.
Location - Work from Home
Salary - Rs. per month (in hand)
Nice to Have
- Experience with Docker / containerized deployments.
- Background integrating with APIs and enterprise systems.
- Understanding of structured evaluation and testing frameworks for LLM applications.
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