Python Developer

3 weeks ago

Nashik, India Arcitech Full time

Python Developer Location: Turbhe, Navi Mumbai CTC: 5-12 LPA Years of Experience: 2-5 years IMMEDIATE JOINERS REQUIRED Your 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. Backend & Systems Development - Design and maintain Python microservices using Django and FastAPI with REST/GraphQL APIs. - Implement real-time communication with Django Channels and FastAPI WebSockets. - Design and optimize PostgreSQL databases with pgvector for embedding storage and similarity search. - Integrate vector databases (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. - Implement Redis caching and message brokers (RabbitMQ/Redis) with Celery for background tasks. - Required Qualifications - Bachelor's or Master's degree in Computer Science, AI/ML, or related field with 2–5 years of Python experience (Python 3.9+). - Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems. - Strong background in deep learning (PyTorch/TensorFlow), Hugging Face Transformers, and LLM APIs (OpenAI, Anthropic, Azure OpenAI). - Proficiency with Django and FastAPI frameworks for building production APIs. - Experience with PostgreSQL and pgvector for embedding storage and similarity search. - Hands-on with MLOps (MLflow/W&B), Docker, Kubernetes, and AWS (EC2, S3, RDS, SageMaker). - Skilled in Git workflows, automated testing (pytest), CI/CD, and AI security best practices. - Excellent communication and analytical thinking. Nice to Have - Experience with 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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