Tech Architect - ML & AI Engineer | Advanced Analytics
Core
Design and develop Data Science projects including predictive models, LLM solutions, intelligent agents, and RAG systems for enterprise clients.
Role type
Senior Machine Learning & AI Engineer (Tech Architect)
Builds
Production ML models, LLM-based solutions, and AI pipelines integrated into modern cloud architectures.
Domain
Enterprise AI, Data Science, Cloud (Microsoft Azure)
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning libraries (Scikit-learn, XGBoost, LightGBM), Deep Learning frameworks (PyTorch, TensorFlow, Keras), MLOps tools (MLFlow), Large Language Models, Retrieval-Augmented Generation (RAG), Microsoft Azure 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), Microsoft/Azure/AI certifications
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 engineers to integrate models into cloud architectures; Write high-quality Python/PySpark and SQL code; Develop ML and Deep Learning models; Build LLM solutions with RAG and intelligent agents; Design and develop ML pipelines from prototyping to production; Use MLOps and DevOps tools for model management and deployment; Translate business requirements into effective AI solutions.
Seniority
Senior, hands-on IC with people management responsibilities