
Only 24h Left) Machine Learning Engineer
3 weeks ago
Location:- Ahmedabad (WFO)
About the Role
We are seeking a highly skilled and innovative AI/ML Engineer with 4–6 years of hands-on
experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The
ideal candidate should have deep expertise in modern AI frameworks, vector databases,
open-source LLMs, and prompt engineering. You will play a pivotal role in designing, building,
and deploying LLM-powered applications, including RAG pipelines, Agentic AI, and MCP
workflows.
Key Responsibilities
- Design, develop, and deploy AI/ML models for real-world applications.
- Implement Generative AI solutions using platforms like OpenAI, Anthropic Claude, and HuggingFace Transformers.
- Work on LLM fine-tuning using PEFT, LoRA, QLoRA, and similar parameter-efficient methods.
- Develop intelligent agents using LangChain and LangGraph frameworks.
- Build and optimize RAG pipelines integrated with vector databases like Pinecone,Weaviate, etc.
- Apply prompt engineering techniques to improve model performance and outputs.
- Collaborate cross-functionally with product, data, and engineering teams to deliver scalable AI systems.
- Work with cloud infrastructure, especially AWS, for model training, deployment, and orchestration.
- Stay up to date with the latest research and trends in AI, LLMs, and agent-based systems.
- Implement and maintain MCP Protocols and agentic workflows for advanced decision-making pipelines.
Must-Have Skills & Experience
- 4–6 years of strong experience in Machine Learning, Deep Learning or Generative AI and Agentic AI
- Hands-on experience with Generative AI, LLM architectures, and open-source models like Mistral, Meta LLaMA, etc.
- Proficiency in LangChain, LangGraph, and prompt engineering
- Familiarity with Vector Databases such as Pinecone, Weaviate, FAISS, etc.
- Experience with OpenAI, HuggingFace, Anthropic Claude, and model APIs
- In-depth understanding of LLM fine-tuning techniques (LoRA, QLoRA, PEFT)
- Strong Python programming skills and experience with ML frameworks (PyTorch, TensorFlow)
- Good understanding of AWS services for model training, hosting, and storage
- Solid understanding of RAG pipelines, agentic AI frameworks, and MCP Protocols
- Experience working in a fast-paced, research-driven environment
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