High-Performance AI Solution Developer

2 weeks ago

Mumbai, Maharashtra, India beBeeGenAiEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Generative AI Engineer

    We are seeking a skilled technical professional to fill the role of Generative AI Engineer.

    This is an exciting opportunity for individuals with expertise in generative AI to contribute to our organization's mission.

    As a Generative AI Engineer, you will be responsible for designing and developing cutting-edge AI solutions using large language models.

    Your primary focus will be on building, deploying, and fine-tuning generative AI models to enhance their performance and accuracy.

    You will work closely with data engineers and MLOps teams to productionalize GenAI models on cloud platforms such as Azure, AWS, or GCP.

    In this role, you will have the opportunity to collaborate with cross-functional teams, leverage your technical expertise, and drive innovation in the field of generative AI.

    Key Responsibilities:

  • Design, build, and deploy generative AI solutions using large language models (LLMs)
  • Fine-tune and customize foundation models using domain-specific datasets and techniques
  • Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses
  • Implement model pipelines using Python and machine learning frameworks like PyTorch, Hugging Face Transformers, or LangChain
  • Collaborate with data engineers and MLOps teams to productionalize GenAI models on cloud platforms

    Required Skills:

  • Generative AI (LLMs, Transformers)
  • Python, PyTorch, Hugging Face Transformers
  • Azure/AWS/GCP cloud platforms
  • LangChain or similar orchestration frameworks
  • REST APIs, FastAPI, Flask
  • ML pipeline tools (MLFlow, Weights & Biases)
  • GIT CI/CD for ML (e.g., Azure ML, SageMaker pipelines)

    Preferred Skills:

  • RAG (Retrieval-Augmented Generation)
  • Vector DBs (FAISS, Pinecone, Weaviate)
  • Streamlit/Gradio for prototyping
  • Docker, Kubernetes (for model deployment)
  • Data preprocessing & feature engineering
  • NLP libraries: spaCy, NLTK, Transformers

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