A Top IT MNC is hiring Generative AI Developer/ AI Engineer/ML Engineer/Data Scientists.

Work Mode: Remote

Experience: 7 years - 10 years

Only Immediate or Early Joiners !!

Mandatory Skills: AI Application Solution Design ,LLM Application Frameworks ,Python

REQUIREMENTS:

• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)


• Should have expert-level prompt engineering skills and proven experience implementing RAG patterns


• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).


• Experience implementing RAG architectures and prompt engineering.


• Strong experience with fine-tuning and distillation techniques and evaluation.


• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).


• Strong understanding of vector databases (e.g., Weaviate, Neo4j)


• understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).


• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.


• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.


• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.


• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.

RESPONSIBILITIES:


• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.


• Mapping decisions with requirements and be able to translate the same to developers.


• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.


• Defining guidelines and benchmarks for NFR considerations during project implementation.


• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.


• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.


• Developing and designing the overall solution for defined functional and non-functional requirements;