Python Developer - AI/ML Solutions
ArcitechIndia7 days ago
Full-timeInformation Technology
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Immediate Joiners Required
Join Architect, where we're developing intelligent, high-impact solutions that blend backend excellence with cutting-edge AI applications.
What You'll Do
Join Architect, where we're developing intelligent, high-impact solutions that blend backend excellence with cutting-edge AI applications.
What You'll Do
- Architect and build robust Python applications using Django/FastAPI with REST/GraphQL APIs.
- Design end-to-end AI/ML pipelines with PyTorch, TensorFlow, and LangChain for production use cases.
- Build LLM and RAG systems using LangChain/LangGraph, integrating OpenAI, Anthropic Claude, and Azure OpenAI APIs.
- Work with Hugging Face Transformers for model fine-tuning and deployment of transformer architectures (BERT, GPT, LLaMA).
- Design PostgreSQL databases with pgvector and integrate vector databases (Pinecone, Weaviate, FAISS) for semantic search.
- Deploy and monitor ML models with MLflow, Docker, Kubernetes, and AWS infrastructure (SageMaker, Lambda, EC2).
- Implement Redis caching, Celery for background tasks, and CI/CD pipelines with - 80% test coverage.
- Collaborate through code reviews, API documentation, and Agile methodologies.
- 2-5 years of Python (3.9+) development with strong AI/ML background.
- Hands-on experience with LangChain, LangGraph, PyTorch/TensorFlow, and LLM APIs.
- Strong proficiency in Django/FastAPI, PostgreSQL with pgvector, and REST/GraphQL APIs.
- Experience with MLOps tools (MLflow, Weights & Biases), Docker, Kubernetes, and AWS cloud services.
- Knowledge of AI security principles, automated testing (pytest), and Git workflows.
- Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
- Excellent communication and analytical thinking skills.
- Experience with advanced LLM fine-tuning (LoRA, QLoRA, RLHF) or model optimization techniques.
- Familiarity with workflow orchestration (Airflow, Prefect), infrastructure as code (Terraform), or model serving frameworks.
- Background in statistics, optimization, or open-source AI/ML contributions.
- Competitive compensation and benefits.
- Work on cutting-edge LLM and AI applications in a collaborative, innovation-driven culture.
- Growth opportunities into AI/ML leadership roles with access to latest tools and learning budget.
Key Skills
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