AIML Engineer

Interested candidate can share cv on 9310115086 or mail me neha.seekconsultant@gmail.com Profile:- AI/ML Engineer Exp:- 3-6+Yrs budget:- 13Lpa Location:- Baner pune 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 5. Agentic AI & Orchestration ● Build agent-based systems using LangChain, LangGraph, or similar frameworks ● Design multi-agent workflows, tool usage, and orchestration pipelines ● Implement agent capabilities like memory, planning, and reasoning loops 6. Model Evaluation & Validation ● Evaluate models using precision, recall, F1-score, and LLM-specific eval methods ● Reduce hallucinations and improve response quality using prompt and system design 7. Deployment & Integration ● Build and deploy APIs using Flask / FastAPI ● Integrate with PostgreSQL and vector databases (FAISS, Pinecone, Chroma, etc.) ● Deploy on cloud platforms (AWS/GCP/Azure) or on-prem/local environments 8. Monitoring & Optimization ● Monitor performance (accuracy, latency, cost) and continuously improve systems ● Optimize pipelines, prompts, and models for production readiness 9.

Ethical AI &Compliance ● Ensure fairness, bias mitigation, and safe AI practices ● Implement guardrails and compliance-aware AI systems 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