Tech Architect - ML & AI Engineer | Advanced Analytics
Core
Designing and developing Data Science projects including predictive models, Large Language Models (LLM), intelligent agents, and Retrieval-Augmented Generation (RAG) systems.
Role type
Tech Architect ML & AI Engineer (Advanced Analytics)
Builds
Production ML models, AI solutions, and data pipelines for enterprise clients.
Domain
Enterprise Data & AI, Cloud (Microsoft Azure)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Machine Learning libraries (Scikit-learn, XGBoost, LightGBM), Deep Learning frameworks (PyTorch, TensorFlow, Keras), MLOps tools (MLFlow), Large Language Models, Prompting techniques, RAG, Microsoft Cloud services (Azure OpenAI, Microsoft Fabric, Databricks), Git, CI/CD, People management.
Preferred skills
LangChain, LangGraph, LlamaIndex, Open-source LLMs (LLaMA, Mistral, Mixtral), LoRA, fine-tuning, Hugging Face Transformers, AI Foundry, Containerized deployment (Docker, Kubernetes).
Technologies
Python, PySpark, SQL, Scikit-learn, XGBoost, LightGBM, Prophet, PyTorch, TensorFlow, Keras, MLFlow, Azure OpenAI, Microsoft Fabric, Databricks, LangChain, LangGraph, LlamaIndex, Docker, Kubernetes, Git.
Responsibilities
Collaborate with ML/AI engineers, full-stack AI developers, data engineers, and solution architects to integrate ML/AI models into modern cloud architectures. Write high-quality Python/PySpark code and SQL for data analysis and transformation. Develop ML and AI solutions from prototyping to production. Utilize MLOps and DevOps tools for model management, versioning, and deployment. Translate business requirements into effective AI solutions through client engagement.
Seniority
Mid-Senior (5-6 years experience), hands-on IC with people management responsibilities.