9,086 AI Engineer jobs in India

Ignite the Future of Language with AI at Teradata!
**What You'll Do: Shape the Way the World Understands Data**
At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of **autonomous and agentic systems**
We're building intelligent systems that go far beyond automation - they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you'll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.
You'll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software - from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.
If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.
**Who You'll Work With: Join Forces with the Best**
Imagine collaborating daily with some of the brightest minds in the company - individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions.
You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.
**What Makes You a Qualified Candidate: Skills in Action**
+ Experience working with modern **data platforms** like Teradata, Snowflake, and Databricks
+ Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.
+ You are an excellent backend engineer who codes daily and owns systems end-to-end.
+ Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
+ Strong system design skills and understanding of distributed systems.
+ You're obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
+ Hands-on experience with **Machine learning & deep learning frameworks** : TensorFlow, PyTorch, Scikit-learn
+ Hands-on experience with **LLMs** , agent frameworks (LangChain, AutoGPT, ReAct, etc.), and orchestration tools.
+ Experience with **AI observability** tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).
+ Solid understanding of **model performance monitoring** , drift detection, and responsible AI principles.
**What You Bring: Passion and Potential**
+ A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field - your academic foundation is key.
+ A genuine excitement for AI and large language models (LLMs) is a significant advantage - you'll be working at the cutting edge!
+ Design, develop, and deploy agentic systems integrated into the data platform.
+ 3+ years of experience in software architecture, backend systems, or AI infrastructure.
+ Experience in software development (Python, Go, or Java preferred).
+ Familiarity with backend service development, APIs, and distributed systems.
+ Interest or experience in LLMs, autonomous agents, or AI tooling.
+ Familiarity with containerized environments ( **Docker** , **Kubernetes** ) and CI/CD pipelines.
+ Experience with **AI observability** tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).
+ Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
+ Integrate observability tooling (e.g., OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.
+ Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.
+ Passion for building safe, human-aligned autonomous systems.
+ Bonus: Research experience or contributions to open-source agentic frameworks.
+ You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
#LI-VB1
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.

**AI Engineer: Shape the Future of Autonomous Intelligence**
**About Teradata**
At Teradata, we don't just manage data-we unlock its full potential. Our ClearScape Analytics platform and pioneering Enterprise Vector Store empower the world's largest organizations to extract transformative value from their most complex data. We're at the forefront of innovation in Artificial Intelligence, especially in the dynamic space of autonomous and agentic systems. Ready to learn from industry leaders and make a real impact?
**The Opportunity: Dive into Enterprise Agentic AI**
Are you a curious, motivated individual passionate about the next frontier of AI? Have you developed intelligent systems that can reason, learn, and act autonomously? Join us as an **AI Engineer** and help shape the future of enterprise intelligence using agentic AI.
You'll collaborate with other experienced AI engineers and data scientists on cutting-edge projects that redefine how businesses harness data. This is a hands-on opportunity to apply your expertise and contribute to the development of intelligent agents and agentic AI workflows that drive insights and automate complex engineering flows.
**What You'll Do**
+ **Improve Engineering Efficiency** : Collaborate with a passionate team of engineers to explore diverse engineering processes and identify opportunities to enhance efficiency using agentic AI
+ **Build Agentic Systems** : Contribute to the design, implementation, and testing of components for robust AI agents and multi-agent orchestration.
+ **Leverage Vector Stores** : Work with Teradata's Enterprise Vector Store to develop intelligent retrieval-augmented generation (RAG) pipelines.
+ **Work with Real-World Data** : Gain experience processing large-scale, complex datasets within the Teradata ecosystem.
+ **Research & Prototype** : Engage with the latest research in agentic AI, prompt engineering, and autonomous systems to prototype innovative ideas.
+ **System Integration** : Help integrate LLM-based agents with retrieval tools, structured/unstructured inputs, and downstream Teradata products.
**Who You Are**
+ 2-3 years of experience in developing solutions leveraging LLMs for complex business processes.
+ Hands-on experience in developing and deploying agentic AI systems that automate and optimize manual engineering workflows by leveraging orchestration frameworks, or multi-step reasoning workflows.
+ Holding Master's or Ph.D. in Data Science, Artificial Intelligence, or a related field.
+ Hand-on experience with LLM APIs (e.g., OpenAI, Claude, Gemini) and agent toolkits (e.g., AgentBuilder, AutoGen, LangGraph, CrewAI).
+ Understanding of chain-of-thought reasoning, prompt tuning, or context window management.
+ Knowledge of evaluation metrics for agent performance, latency, and reliability.
+ Hands-on with Python and Cloud automation.
+ Having experience in developing full stack applications is a plus.
+ Passionate about innovation and advancing the state of AI.
+ Curious about text, data, workflows, and multimodal reasoning.
**Why to join Teradata?**
+ **Real-World Impact** : Work on meaningful projects that address complex enterprise challenges.
+ **Innovative Technology** : Gain deeper experience with Agentic AI, Generative AI, and large-scale data platforms.
+ **Mentorship & Development** : Learn from experienced professionals in AI, machine learning, and data engineering.
+ **Collaborative Culture** : Join a supportive, inclusive team that values creativity and continuous learning.
+ **Career Progression** : Build a strong portfolio and skill set for a future in advanced AI.
#LI-VB1
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.

**Description** We are seeking a highly skilled and motivated AI Engineer with expertise in
**Python** and
**AI frameworks** to join our dynamic team.
The ideal candidate should have more than 5 years of IT experience, with at least 3 years of specific experience working with AI platforms and Python.
As AI Engineer, you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities:
+ Partner with stakeholders to build and deploy impactful
**Gen AI** and
**machine learning** solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
+ Develop and implement state of the art AI techniques such as
**retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training** , and optimizing model performance for real-world deployment to maximize business impact.
+ Forge and manage relationships with our customers' leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
+ Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for
**Snorkel AI** .
+ Serve as the voice of our business stakeholders for new AI paradigms, data science workflows, and share customer feedback to product teams
+ Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
**Qualifications**
+ 5 years of customer-facing experience in the design and implementation of AI/ML solutions.
+ Proficient in Python.
+ Expertise in AI frameworks and libraries, such as scikit-learn,
**PyTorch** , Hugging Face Transformers,
**LangChain** , and
**OpenAI** APIs.
+ Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
+ Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
+ Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
+ B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
**Job** Information Technology
**Primary Location** India-Karnataka-Bengaluru
**Schedule:** Full-time
**Travel:** No
**Req ID:** 251422
**Job Hire Type** Experienced Not Applicable #BMI N/A

**Req ID:** 331893
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN).
"Job Duties: The AI engineer will need to be very proficient with handling code, workflows, design, and data analysis. They will be working with multiple systems, sample data and global teams to create automation solutions leveraging AI.
Minimum Skills Required: AI Engineering
Data Engineering
UI Design
Code Solutions (REACT, Streamlit)"
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:** 331893
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN).
"Job Duties: The AI engineer will need to be very proficient with handling code, workflows, design, and data analysis. They will be working with multiple systems, sample data and global teams to create automation solutions leveraging AI.
Minimum Skills Required: AI Engineering
Data Engineering
UI Design
Code Solutions (REACT, Streamlit)"
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**About NCR Atleos**
NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.
**Key Responsibilities**
+ Design, develop, and deploy AI solutions using **Generative AI** and **Agentic AI** principles.
+ Build intelligent agents and copilots using **Microsoft Copilot stack** , **Azure AI Services** , and **Power Platform** .
+ Collaborate with product managers, data scientists, and engineers to translate business needs into scalable AI solutions.
+ Integrate AI models into enterprise systems using APIs, microservices, and automation pipelines.
+ Optimize model performance and ensure scalability in production environments.
+ Implement **CI/CD pipelines** for AI workloads using tools like GitHub Actions, Jenkins, etc.
+ Automate cloud workloads and manage deployment cycles across environments.
+ Stay current with the latest AI/ML research and apply cutting-edge techniques to projects.
+ Document models, workflows, and experiments for reproducibility and team knowledge sharing.
**Required Skills & Qualifications**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
+ 2-3 years of hands-on experience in AI/ML development, including deep learning and NLP.
+ Strong experience with **Azure AI Services** , **Azure Machine Learning** , **Power Platform** , and **Microsoft Copilot stack** .
+ Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc.
+ Experience with cloud platforms (Azure preferred; AWS/OCI a plus).
+ Familiarity with MLOps practices, containerization (Docker), and API frameworks (Flask, FastAPI).
+ Experience using **GitHub Copilot** or similar AI-assisted development tools.
+ Strong problem-solving skills and ability to work independently or in agile teams.
+ Excellent communication and collaboration skills.
**Preferred Qualifications**
+ Exposure to **model monitoring** , performance tuning, and observability in production.
+ Experience with **prompt engineering** , **LLM fine-tuning** , or **custom GPT deployments** .
+ Familiarity with **agent frameworks** (e.g., Semantic Kernel, AutoGen, LangChain, etc.).
Offers of employment are conditional upon passage of screening criteria applicable to the job.
**EEO Statement**
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.
**Statement to Third Party Agencies**
To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

**Job Summary**
NetApp is seeking an AI engineer to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key AI engineer in this initiative, the candidate will be responsible for independently developing and deploying LLM-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data governance and compliance. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.
**Job Requirements**
+ Lead the development and deployment of AI/ML systems for Data governance with techniques from the realm of classical Machine learning, Generative AI and AI agents.
+ Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations.
+ Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.
+ Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap. Ensure scalability, reliability, and performance of AI models in production environments.
+ Have a customer-focused mindset and build AI/ML products that delight our customers.
+ Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences.
**Required and Preferred Qualification**
**Required Qualification**
+ Master's degree in computer science / applied mathematics/statistics/data science or equivalent experience.
+ Strong expertise in data science fundamentals and model evaluations. Solid understanding of supervised and unsupervised machine learning algorithms (machine learning and deep learning).
+ 4-8 years of experience of optimizing and shipping machine learning and deep learning models to production.
+ Demonstrated proficiency in using large language models, prompting techniques, fine-tuning and knowing when not to use LLMs.
+ Proficiency in Python and at least one modern ML framework such as PyTorch / Tensorflow or transformers.
+ Excellent communication and collaboration skills, with a demonstrated ability to work effectively with cross-functional teams and organizational stakeholders.
**Preferred Qualification**
+ Curiosity and tinkering with AI agents or multi-agent systems with agentic AI frameworks (Langgraph, LlamaIndex, crewai, smolagents etc.).
+ Understanding of data governance, security policies, and compliance frameworks.
+ Applied knowledge of MLOps / LLMOps practices, CI/CD pipelines, cloud platforms and ML systems lifecycle management.
+ Experience of representing their work or company in AI/ML conferences. Publications or contributions to AI/ML community related to NLP or data governance.
+ Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements
131222
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.

**Introduction**
A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows?
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat?
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience?
**Your role and responsibilities**
We are seeking for a passionate and skilled Python AI Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks. You will collaborate with data engineer, product managers, and software engineers to bring AI-driven products and features to life.
Job description
· Work with frameworks like TensorFlow/PyTorch, Scikit-learn, or similar.
· Design and implement AI/ML models and algorithms using Python3.
· Develop and maintain scalable, production-grade machine learning pipelines.
· Conduct data exploration, preprocessing, feature engineering, and model evaluation.
· Optimize models for performance and scalability in production environments.
· Collaborate with cross-functional teams to integrate AI components into real-world applications.
· Stay up to date with the latest research and industry trends in AI and machine learning.
· Document experiments, code, and processes for reproducibility and transparency.
**Required technical and professional expertise**
* Strong programming skills in Python 3.
* Solid understanding of machine learning fundamentals (classification, regression, clustering, etc.).
* Experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow/PyTorch, XGBoost, etc.).
* Experience in NLP related to Semantic models/Search using BERT/ transformer model.
* Experience with Gen AI ecosystem/tools is a plus.
* Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc.
* Good grasp of software engineering principles (version control, testing, modular code).
**Preferred technical and professional experience**
* Familiarity with REST APIs and deployment practices (Dockerized Container, Flask/FastAPI, etc.).
* Understanding of cloud platforms (AWS, GCP, Azure) is a plus.
* Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
* Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
The IBM Automation team is seeking a passionate and talented AI Engineer to push the boundaries of artificial intelligence. You will design, implement, and deploy advanced AI and autonomous agent solutions that enhance our cloud offerings, enabling smarter automation and significantly improving customer productivity.
Collaborating closely with cross-functional teams, you will transform complex AI concepts into practical, real-world applications that deliver measurable value.
**Your role and responsibilities**
* Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives.
* Gather, clean, and prepare large datasets to ensure readiness for AI model training
* Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.
* Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity.
* Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization.
* Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments
* Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities.
* Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.
* Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment.
* Lead and mentor team members to improve performance.
* Collaborate with operations, architects, and product teams to resolve issues and define product designs.
* Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components
* Participate in software design reviews, code reviews and project planning.
* Write and review documentation and technical blog posts.
* Contribute to department attainment of organizational objectives and high customer satisfaction
**Required technical and professional expertise**
* Minimum 6 years of hands-on experience developing AI-based applications using Python.
* 2+ years in Performance testing, Reliability testing
* 2+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras)
* Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring.
* Familiarity with Natural Language Processing (NLP) techniques.
* Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations.
* Proven expertise in integrating and working with LLMs to build robust AI solutions.
* Skilled in crafting effective prompts to guide LLMs to provide desired outputs.
* Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc.,
* Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy.
* Proficient in microservices development using Python (Django/Flask or similar technologies).
* Experience in Agile development methodologies
* Familiarity with platforms like Kubernetes and experience building on top of the native platforms
* Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).
* Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)
* Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders
**Preferred technical and professional experience**
* Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs
* Experience in cost optimisation initiatives
* Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs.
* Understanding of security and ethical best practices for data and model development
* Contributions to open source projects
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.