Python Developer

1 day ago


New Delhi, India Arcitech Full time

Designation: Python Developer – AI/ML Location: Turbhe, Navi Mumbai CTC: 5-12 LPA Years of Experience: 2-5 yearsIMMEDIATE JOINERS REQUIREDDescription :At Arcitech.ai, were redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. Were looking for a Python Developer passionate about AI/ML, whos ready to work on scalable, cloud-native platforms and help build the next generation of intelligent, LLM-driven products.Your Responsibilities :AI/ML Engineering : Develop, train, and optimize ML models using PyTorch/TensorFlow/Keras. Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain. Collaborate with data scientists to convert prototypes into production-grade AI applications. Integrate NLP, Computer Vision, and Recommendation Systems into scalable products. Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.Backend & Systems Development : Design, develop, and maintain robust Python microservices with REST/GraphQL APIs. Implement real-time communication with Django Channels/WebSockets. Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS). Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI/ML workloads.Reliability & Automation : Develop background task queues with Celery, ensuring smart retries and monitoring. Implement CI/CD pipelines for automated model training, testing, and deployment. Write automated unit & integration tests (pytest/unittest) with ?80% coverage.Collaboration : Contribute to MLOps best practices and mentor peers in LangChain/AI integration. Participate in tech talks, code reviews, and AI learning sessions within the team.Required Qualifications : Bachelors or Masters degree in Computer Science, AI/ML, or related field. 2-5 years of experience in Python development with strong AI/ML exposure. Hands-on experience with LangChain for building LLM-powered workflows and RAG systems. Deep learning experience with PyTorch or TensorFlow. Experience deploying ML models and LLM apps into production systems. Familiarity with REST/GraphQL APIs and cloud platforms (AWS/Azure/GCP). Skilled in Git workflows, automated testing, and CI/CD practices.Nice to Have : Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines. Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks. Familiarity with Airflow/Prefect/Dagster for data and model pipelines. Background in statistics, optimization, or applied mathematics. Contributions to AI/ML or LangChain open-source projects. Experience with model monitoring and drift detection in production.Why Join Us : Competitive compensation and benefits Work on cutting-edge LLM and AI/ML applications A collaborative, innovation-driven work culture Opportunities to grow into AI/ML leadership roles


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