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Generative AI Developer/ AI Engineer/Data Scientist
Generative AI Developer/ AI Engineer/Data ScientistClient of Prasha Consultancy Services Private Limited • Nellore, IN
Generative AI Developer / AI Engineer / Data Scientist

Generative AI Developer / AI Engineer / Data Scientist

Client of Prasha Consultancy Services Private Limited • Nellore, IN
6 days ago
Job description

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;
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    Generative AI Developer AI EngineerData Scientist • Nellore, IN

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