5,216 Artificial Intelligence jobs in India
Artificial Intelligence
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Job Title: AIML Engineer
Position: SE
Experience: 5-6 yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Primary Skill-AI/ML
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.
Responsibilities
===
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop, learn and create is here. You will help support the creation of thought-provoking
solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
===
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below, but you re the type of person who has the ability to get there quickly:
Candidate should be proactive, problems solvers, ready to learn on their own.
Proficiency in one or more modern programming languages, mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow
Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
Ability to work in large, collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
===
ML/AI libraries and algorithms
Python
Kubernetes, Kubeflow/ML-flow
ML-Ops practices
Cloud Knowledge
Scikit-Learn, Keras and TensorFlow
Candidate should be proactive, Problems solvers, ready to learn on their own
Good to have Skills
===
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database
Artificial Intelligence
Posted today
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Job Description
**Job Types**: Full-time, Permanent, Fresher
Pay: ₹15,480.00 - ₹28,600.00 per month
**Benefits**:
- Flexible schedule
- Life insurance
- Provident Fund
Schedule:
- Day shift
- Rotational shift
Supplemental Pay:
- Joining bonus
- Performance bonus
Work Location: In person
Artificial Intelligence
Posted today
Job Viewed
Job Description
Pay: ₹9,333.29 - ₹25,582.80 per month
Schedule:
- Day shift
Work Location: In person
Artificial Intelligence
Posted today
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Job Description
- **Data Analysis**: A significant part of the job involves analyzing complex data sets to identify trends, patterns, and insights. This analysis helps in making informed decisions and improving AI models.
- **Model Implementation**: AI professionals implement machine learning models and algorithms to solve specific problems and enhance decision-making processes. They ensure that these models are tested and refined to produce accurate results.
- **Collaboration**: Working closely with cross-functional teams is essential. AI specialists translate business needs into AI solutions, ensuring that the developed systems align with organizational goals.
- **Maintenance and Optimization**: AI engineers are responsible for the ongoing optimization and maintenance of AI processes. This includes transitioning machine learning models from development to production environments and ensuring their performance over time.
- **Documentation and Reporting**: Producing clear technical reports and documentation is crucial for communicating findings and methodologies to stakeholders. This also includes conducting training sessions to share AI knowledge across the organization.
- **Staying Updated**: AI professionals must stay current with advancements in AI and machine learning technologies to ensure that their skills and knowledge remain relevant in a rapidly evolving field.
Conclusion: The role of an AI professional is multifaceted, requiring a blend of technical skills, analytical thinking, and collaboration. As AI continues to transform various industries, the demand for skilled professionals in this field is expected to grow significantly.
By understanding these duties, individuals can better prepare for a career in artificial intelligence and align their skills with industry needs.
Pay: ₹15,000.00 - ₹25,000.00 per month
Schedule:
- Morning shift
Work Location: In person
Artificial Intelligence
Posted today
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Job Description
Please let us know your previous work !
Pay: ₹8,000.00 - ₹12,000.00 per month
**Benefits**:
- Flexible schedule
- Work from home
Work Location: Remote
Artificial Intelligence and Data Science Professional
Posted today
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We are looking for a skilled Machine Learning Engineer to join our team and contribute to the development of innovative machine learning solutions.
About the Role:
The successful candidate will be responsible for designing, developing, and deploying machine learning models that drive business value. This includes developing training and deployment pipelines for machine learning, implementing model compression algorithms, and productionizing machine learning research solving challenging business problems.
Key Responsibilities:
- Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluate and analyze the performance of ML/generative AI models.
- Stay up to date on the latest advancements in generative AI research.
- Facilitate the development and deployment of proof-of-concept Generative AI systems.
Qualifications:
- Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 3-5 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker and a good understanding of Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning
What We Offer:
A competitive compensation package, a dynamic and supportive work environment, opportunities for professional growth and development, and a chance to work on exciting projects that make a real impact.
How to Apply:
If you are a motivated and experienced Machine Learning Engineer looking for a new challenge, please submit your resume and cover letter to us. We look forward to hearing from you.
),Artificial Intelligence Engineer

Posted today
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Job Description
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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Artificial Intelligence Engineer

Posted today
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We are looking for a skilled **Machine Learning Engineer** to join our team. The ideal candidate will have experience in developing and deploying AI, ML, DL and GenAI solutions. You will work on a variety of projects supporting our business, including GenAI, natural language processing, recommendation systems, and more.
**Key Responsibilities**
+ Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
+ Design and develop machine learning models and algorithms to analyze complex datasets and extract meaningful insights.
+ Support business users to adopt GenAI based solutions in their daily workflow
+ Troubleshoot and debug issues across all projects to ensure smooth and efficient operation
+ Collaborate with global team members to resolve technical challenges and implement solutions
**Required Skills and Qualifications**
+ 3-5 years of experience in cloud computing services (e.g., AWS, Azure, GCP). Azure Open AI resource knowledge is a must.
+ Expertise in programming languages such as Python, R or similar languages and familiarity with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).
+ Familiarity with SQL and database management.
+ Strong analytical and debugging skills to resolve complex code and application issues.
+ Ability to communicate technical concepts effectively with technical and non-technical stakeholders.
**Preferred Qualifications**
+ Strong knowledge of GenAI, machine learning algorithms and statistical modelling.
+ Knowledge of version control systems like Git.
+ Stay updated on the latest developments in data science, machine learning, and AI technologies, and identify opportunities for innovation and improvement.
**Education**
+ Bachelor's degree in Computer Science, Information Technology, or a related field.
**Ralliant Corporation Overview**
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
We Are an Equal Opportunity Employer
Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**About Tektronix**
Tektronix, a wholly owned subsidiary of Ralliant Corporation, is a place where people are challenged to explore the boundaries of what's possible, bringing the digital future one step closer every day. Through precision-engineered measurement solutions, we work with our customers to eliminate the barriers between inspiration and realization of world-changing technologies. We believe that cultivating a deeper sense of loyalty and belonging is key to how we attract and retain our best people. This reality inspires our Inclusion & Diversity vision, We Are More Together, and guides our approach as we all work toward creating great places where our teams work and thrive. Realize your true potential at Tektronix - join us in revolutionizing a better tomorrow!
We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
Artificial Intelligence Engineer

Posted today
Job Viewed
Job Description
We are looking for a skilled **Machine Learning Engineer** to join our team. The ideal candidate will have experience in developing and deploying AI, ML, DL and GenAI solutions. You will work on a variety of projects supporting our business, including GenAI, natural language processing, recommendation systems, and more.
**Key Responsibilities**
+ Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
+ Design and develop machine learning models and algorithms to analyze complex datasets and extract meaningful insights.
+ Support business users to adopt GenAI based solutions in their daily workflow
+ Troubleshoot and debug issues across all projects to ensure smooth and efficient operation
+ Collaborate with global team members to resolve technical challenges and implement solutions
**Required Skills and Qualifications**
+ 2-3 years of experience in cloud computing services (e.g., AWS, Azure, GCP). Azure Open AI resource knowledge is a must.
+ Expertise in programming languages such as Python, R or similar languages and familiarity with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).
+ Familiarity with SQL and database management.
+ Strong analytical and debugging skills to resolve complex code and application issues.
+ Ability to communicate technical concepts effectively with technical and non-technical stakeholders.
**Preferred Qualifications**
+ Strong knowledge of GenAI, machine learning algorithms and statistical modelling.
+ Knowledge of version control systems like Git.
+ Stay updated on the latest developments in data science, machine learning, and AI technologies, and identify opportunities for innovation and improvement.
**Education**
+ Bachelor's degree in Computer Science, Information Technology, or a related field.
**Ralliant Corporation Overview**
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
We Are an Equal Opportunity Employer
Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**About Tektronix**
Tektronix, a wholly owned subsidiary of Ralliant Corporation, is a place where people are challenged to explore the boundaries of what's possible, bringing the digital future one step closer every day. Through precision-engineered measurement solutions, we work with our customers to eliminate the barriers between inspiration and realization of world-changing technologies. We believe that cultivating a deeper sense of loyalty and belonging is key to how we attract and retain our best people. This reality inspires our Inclusion & Diversity vision, We Are More Together, and guides our approach as we all work toward creating great places where our teams work and thrive. Realize your true potential at Tektronix - join us in revolutionizing a better tomorrow!
We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
Artificial Intelligence Engineer
Posted 3 days ago
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Job Description
About Client:
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
Job Title: AI Engineer
Location : Pan India
Experience : 6-8 Years
Job Typ e: Contract to Hire
Notice Period : Immediate Joiners
Mandatory Skills:
AI,Streamlit, LLMs & Smart Querying,dbt Cloud, Snowflake Cortex, and Atlan
Job description:
- Develop Decision Intelligence Applications: Design and deploy interactive, production-ready applications using Streamlit , integrating governed metrics and LLM-powered interfaces.
- Leverage LLMs & Smart Querying: Implement natural language query translation , LLM agents , and smart query routing to surface insights and predictions based on user intent.
- Prototype & Govern AI Features: Build LLM-based metric suggestion tools (suggest-only, non-production), supporting metric governance, versioning, and approval workflows.
Good to have: Integrate Modern Data Stack: Work with tools like dbt Cloud , Snowflake Cortex , and Atlan to enable semantic access, lineage tracking, and governed metric synchronization