AI ML Developer

TCS is Hiring AI ML Developer For Bangalore, Hyderabad, Chennai, Pune, Mumbai, Delhi location

Experience : 6 - 15 years

Mode of interview : Virtual

Location : Bangalore, Hyderabad, Chennai, Pune, Mumbai, Delhi

JOB DESCRIPTION : Must have :

Deep expertise in AWS infrastructure and DevOps methodologies (CI / CD).

Strong understanding of application integration technologies and modern AI / GenAI tools.

Proficiency in Python and Git for code management and automation.

Extensive knowledge of RAG, LangChain, Langraph, and Agentic RAG frameworks.

Develop and refine prompts for various generative AI applications, including text generation, language translation, and conversational AI.

Analyze and interpret AI model outputs to identify areas for improvement in prompt design.

Collaborate with data scientists and machine learning engineers to integrate prompts into AI pipelines and workflows.

Utilize Python to create scripts for prompt testing, evaluation, and automation.

Conduct experiments to measure the effectiveness of different prompting techniques and strategies.

Stay up-to-date with the latest developments in generative AI and prompt engineering.

Document best practices and guidelines for prompt engineering within the organization.

Contribute to the development of prompt libraries and reusable components.

Demonstrated experience in team leadership, architecture creation, and technical mentoring.

Excellent communication skills to engage with customers and stakeholders.

Good to have :

Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.

Experience working on multiple concurrent projects.

Excellent problem-solving skills.

Responsibilities :

Deep expertise in AWS infrastructure and DevOps methodologies (CI / CD).

Lead architectural design and implementation of complex systems and solutions.

Collaborate with customers to gather requirements and translate them into scalable architectures.

Guide and mentor the team in adopting best practices for implementation.

Develop and manage AWS infrastructure, ensuring optimal performance and cost efficiency.

Design and oversee CI / CD pipelines to streamline development and deployment processes.

Integrate and manage application technologies for seamless communication across systems.

Work hands-on with Git for version control and collaborative workflows.

Drive innovation by leveraging Generative AI (GenAI), RAG (Retrieval-Augmented Generation), LangChain, LangGraph, and Agentic RAG principles.

Implement and optimize various types of retrieval mechanisms for efficient data querying.

Utilize Python for scripting and development tasks across projects.