AI/ML Engineer/ LLMs,Automation

Hi Linkedin Team!

We have an urgent opening for a Python AI ML engineer/LLMs, Automation

Profile: - Python AI ML engineer/LLMs, Automation

Location: - Baner Pune

Exp: - 3- 6+ Years

Budget: - Upto 13 Lpa

Notice period: Immediate to 15 days

Interested candidate can share cv on 9220963424 or [Confidential Information]

Key Responsibilities

1. Problem Identification & Solution Design

● Understand business problems and design AI-driven automation solutions

● Architect scalable systems combining ML models, LLMs, and rule-based logic

2. Data Collection & Preprocessing

● Collect, clean, and preprocess structured and unstructured data

● Build pipelines for document ingestion, embeddings, and retrieval systems

3. Model Development & Training

● Develop and fine-tune ML, NLP, and Generative AI models

● Work with LLMs and SLMs (Small Language Models) for optimized use cases

● Apply fine-tuning techniques (LoRA, PEFT) for efficient model adaptation

● Implement embedding models, semantic search, and ranking systems

4. RAG & Knowledge Systems

● Design and implement RAG (Retrieval-Augmented Generation) pipelines

● Work with vector databases and hybrid retrieval strategies

● Build or integrate knowledge graphs for enhanced reasoning

Required Skills

● Strong proficiency in Python

● Hands-on experience with ML frameworks (PyTorch / TensorFlow)

● Experience with LLMs, SLMs, embeddings, and RAG pipelines

● Strong understanding of fine-tuning techniques (LoRA, PEFT)

● Experience with LangChain, LangGraph, or agent orchestration frameworks

● Hands-on experience with Flask / FastAPI APIs

● Strong knowledge of PostgreSQL and vector databases

● Experience building automation systems / decision engines / rule-based systems

Good to Have

● Experience with MLOps practices and tools (CI/CD for ML, model versioning, monitoring)

● Familiarity with knowledge graphs (Neo4j, etc.)

● Experience with local/on-prem LLM deployment and optimization

● Exposure to real-time/event-driven architectures

● Background in fintech / compliance / transaction monitoring systems