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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Quantiphinoida, delhi, in
9 hours ago
Job description

Job Role : Senior Machine Learning Engineer - GenAI

Years of Experience : 1-4 Years

Job Location : Bangalore

Must have skills :

  • Strong programming skills in Python.
  • Proficiency in Generative AI and Agentic AI.
  • Experience with cloud platforms, particularly AWS.
  • Solid understanding of machine learning fundamentals and the ability to apply them effectively.
  • Experience with AI frameworks and tools such as Langchain, LangGraph, PyTorch, SpaCy, and DSPy.
  • Proficient in web frameworks like Flask and FastAPI for API development.
  • Experience with containerization technologies, particularly Docker.
  • Practical experience with search and indexing systems, and expertise with at least one indexing tool.
  • Familiarity with technologies such as MCP, API Development, LLM Evaluation

Good to have skills :

  • Familiarity with a variety of cloud-based tools and services for AI and ML development.
  • Knowledge of best practices for deploying AI models at scale, ensuring reliability and performance.

    • Key Responsibilities :

  • Model Fine-Tuning & Training : Fine-tune Large Language Models (LLMs) to enhance task-specific performance and improve accuracy.
  • Model Deployment : Deploy generative AI models in production using cloud platforms like AWS and Azure, alongside containerization solutions such as Docker.
  • Cloud Integration : Design and implement comprehensive AI solutions utilizing services from Azure or AWS Marketplace, including Cognitive Services, Object Storage, API Management, and App Services.
  • NLP & Search Solutions : Develop NLP-driven solutions and implement indexing / search functionalities with a deep understanding of indexing systems.
  • API Development : Create and maintain RESTful APIs using frameworks such as Flask and FastAPI, ensuring seamless integration with external systems.
  • LLM Evaluation & Agentic AI : Assess the performance of LLMs for diverse applications and explore agentic AI's potential to enhance system efficiency.
  • Continuous Learning & Research : Stay informed about the latest advancements in Generative AI, NLP, and related domains, integrating these advancements into ongoing development processes.
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