Python Developer - AI/ML Solutions

<p><b>IMMEDIATE JOINERS REQUIRED :</b><br/><br/>Join Architect, where we're developing intelligent, high-impact solutions that blend backend excellence with cutting-edge AI applications.<br/><br/><b>What You'll Do :</b><br/><br/>- Architect and build robust Python applications using Django/FastAPI with REST/GraphQL APIs.<br/><br/>- Design end-to-end AI/ML pipelines with PyTorch, TensorFlow, and LangChain for production use cases.<br/><br/>- Build LLM and RAG systems using LangChain/LangGraph, integrating OpenAI, Anthropic Claude, and Azure OpenAI APIs.<br/><br/>- Work with Hugging Face Transformers for model fine-tuning and deployment of transformer architectures (BERT, GPT, LLaMA).<br/><br/>- Design PostgreSQL databases with pgvector and integrate vector databases (Pinecone, Weaviate, FAISS) for semantic search.<br/><br/>- Deploy and monitor ML models with MLflow, Docker, Kubernetes, and AWS infrastructure (SageMaker, Lambda, EC2).<br/><br/>- Implement Redis caching, Celery for background tasks, and CI/CD pipelines with - 80% test coverage.<br/><br/>- Collaborate through code reviews, API documentation, and Agile methodologies.<br/><br/><b>What We're Looking For :</b><br/><br/>- 2-5 years of Python (3.9+) development with strong AI/ML background.<br/><br/>- Hands-on experience with LangChain, LangGraph, PyTorch/TensorFlow, and LLM APIs.<br/><br/>- Strong proficiency in Django/FastAPI, PostgreSQL with pgvector, and REST/GraphQL APIs.<br/><br/>- Experience with MLOps tools (MLflow, Weights & Biases), Docker, Kubernetes, and AWS cloud services.<br/><br/>- Knowledge of AI security principles, automated testing (pytest), and Git workflows.<br/><br/>- Bachelor's or Master's degree in Computer Science, AI/ML, or related field.<br/><br/>- Excellent communication and analytical thinking skills.<br/><br/><b>Bonus Points :</b><br/><br/>- Experience with advanced LLM fine-tuning (LoRA, QLoRA, RLHF) or model optimization techniques.<br/><br/>- Familiarity with workflow orchestration (Airflow, Prefect), infrastructure as code (Terraform), or model serving frameworks.<br/><br/>- Background in statistics, optimization, or open-source AI/ML contributions.<br/><br/><b>Why Join Us :</b><br/><br/>- Competitive compensation and benefits.<br/><br/>- Work on cutting-edge LLM and AI applications in a collaborative, innovation-driven culture.<br/><br/>- Growth opportunities into AI/ML leadership roles with access to latest tools and learning budget.</p> (ref:hirist.tech)