Tech Architect - ML & AI Engineer
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
Builds
Production ML models, AI solutions, and data pipelines for enterprise clients.
Domain
Enterprise Data & AI, Cloud Services
Deliverable
production ML models | product features
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 Azure OpenAI, Microsoft Fabric, Databricks, Git, CI/CD
Preferred skills
LangChain, LangGraph, LlamaIndex, Open-source LLMs (LLaMA, Mistral, Mixtral), LoRA, fine-tuning, Hugging Face Transformers, AI Foundry, 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 and data architects to integrate models into cloud architectures; Write high-quality Python/PySpark and SQL code for data analysis and transformation; Design and develop ML/AI pipelines from prototyping to production; Utilize MLOps and DevOps tools for model management and deployment; Translate business requirements into effective AI solutions.
Seniority
Mid-Senior (5-6 years experience), People Management
