AI/ML Engineer (Cloud & Business Intelligence)

Experience: 3+ years in Machine Learning, Artificial Intelligence, Business Intelligence, and Cloud Architecture, with proven work in Generative AI and Agentic AI systems.Key ResponsibilitiesAct as the technical lead & solution architect for AI/ML-powered business solutions.Design end-to-end architectures integrating data pipelines, ML models, Generative AI, and Agentic AI agents.Build Power BI dashboards connected to AI outputs for actionable insights.Architect cloud-based AI solutions (Azure/AWS/GCP) with scalable deployment of LLMs and autonomous agents.Mentor team members in LLM fine-tuning, prompt engineering, and agent orchestration.Collaborate with stakeholders to align technical designs with business needs.Required CompetenciesExpert in ML/AI frameworks (TensorFlow, PyTorch, scikit-learn).Hands-on with Generative AI (OpenAI GPT, Azure OpenAI, Claude, Gemini) and Agentic AI (LangChain, AutoGen, crewAI, OpenAI Assistants API).Strong Power BI skills (DAX, data modeling, advanced visualizations).In-depth cloud architecture knowledge (Azure AI/ML, AWS SageMaker, GCP Vertex AI).Advanced MLOps, deployment, and system design skills.