Senior Python AI Developer

4 days ago

solapur, India Arcitech Full time

Senior Pyhton AI DeveloperYour Responsibilities- Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.- Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.- Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.- Utilize Hugging Face Transformers for model fine-tuning and deployment.- Integrate embedding models for semantic search and retrieval systems.- Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.- Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.- Implement real-time communication with FastAPI WebSockets.- Implement pgvector for embedding storage and similarity search with efficient indexing strategies.- Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.- Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).- Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.- Version ML experiments using MLflow, Weights & Biases, or Neptune.- Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).- Implement model monitoring, drift detection, and automated retraining pipelines.- Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).- Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).- Participate in code reviews, tech talks, and AI learning sessions.- Follow Agile/Scrum methodologies and Git best practices.Required Qualifications- Bachelor's or Master's degree in Computer Science, AI/ML, or related field.- 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.- Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.- Deep learning experience with PyTorch or TensorFlow.- Experience with Hugging Face Transformers and model fine-tuning.- Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.- Strong experience with FastAPI frameworks.- Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.- Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).- Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).- Skilled in Git workflows, automated testing (pytest), and CI/CD practices.- Understanding of security principles for AI systems.- Excellent communication and analytical thinking.Nice to Have- Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).- Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.- Experience with model serving frameworks and distributed training.- Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).- Knowledge of quantization and model compression techniques.- Experience with infrastructure as code (Terraform, CloudFormation).- Familiarity with data versioning tools (DVC) and AutoML.- Experience with Streamlit or Gradio for ML demos.- Background in statistics, optimization, or applied mathematics.- Contributions to AI/ML or LangChain/LangGraph open-source projects.

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