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.
