Machine Learning (ML)
Django
PythonDesignation: Python Developer
Experienced in AI/ML
Location: Turbhe, Navi Mumbai
CTC: 6-12 LPA
Years of Experience: 2-5 years
At Arcitech.ai, we’re redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. We’re looking for a Python Developer passionate about AI/ML, who’s 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
- Bachelor’s or Master’s 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 🚀
Shubham Vishwakarma
Full Stack Developer - Averlon
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