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Interested candidate can share cv on 9310115086 or mail me neha.seekconsultant@gmail.comProfile:- AI/ML EngineerExp:- 3-6+Yrsbudget:- 13LpaLocation:- Baner puneKey Responsibilities1. Problem Identification & Solution Design Understand business problems and design AI-driven automation solutions Architect scalable systems combining ML models, LLMs, and rule-based logic2. Data Collection & Preprocessing Collect, clean, and preprocess structured and unstructured data Build pipelines for document ingestion, embeddings, and retrieval systems3. 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 systems4. 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 reasoning5. 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 loops6. 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 design7. 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 environments8. Monitoring & Optimization Monitor performance (accuracy, latency, cost) and continuously improve systems Optimize pipelines, prompts, and models for production readiness9. Ethical AI &Compliance Ensure fairness, bias mitigation, and safe AI practices Implement guardrails and compliance-aware AI systemsRequired 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 systemsGood 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 Interested candidate can share cv on 9310115086 or mail me neha.seekconsultant@gmail.comProfile:- AI/ML EngineerExp:- 3-6+Yrsbudget:- 13LpaLocation:- Baner puneKey Responsibilities1. Problem Identification & Solution Design Understand business problems and design AI-driven automation solutions Architect scalable systems combining ML models, LLMs, and rule-based logic2. Data Collection & Preprocessing Collect, clean, and preprocess structured and unstructured data Build pipelines for document ingestion, embeddings, and retrieval systems3. 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 systems4. 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 reasoning5. 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 loops6. 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 design7. 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 environments8. Monitoring & Optimization Monitor performance (accuracy, latency, cost) and continuously improve systems Optimize pipelines, prompts, and models for production readiness9. Ethical AI &Compliance Ensure fairness, bias mitigation, and safe AI practices Implement guardrails and compliance-aware AI systemsRequired Skills Strong proficiency in Python Hands-on experience with ML frameworks (PyTorch / TensorFlow) Experience with LLMs, SLMs, embeddings, and RAG pipel