Job Description
Experience: 3+ years in Machine Learning, Artificial Intelligence, Business Intelligence, and Cloud Architecture, with proven work in Generative AI and Agentic AI systems.
Key Responsibilities:
- Act 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 Competencies:
- Expert 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.