Lead Data Scientist

Design and deliver end-to-end Generative AI solutions leveraging LLMs, RAG, AI Agents, and vector databases with focus on scalability, security, and cost-effectiveness.

Architect cloud-based AI platforms using AWS, Azure, or GCP, including MLOps/LLMOps pipelines for deployment, monitoring, and governance.

Lead stakeholder engagement through client workshops, pre-sales support, and present AI strategies to executives while mentoring technical teams.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

10–15+ years of experience in software engineering, cloud architecture, or AI with 3–5+ years in AI/ML solution architecture.

Hands-on experience with Generative AI technologies including LLMs (GPT, Claude, Gemini, etc.), prompt engineering, RAG, vector databases, AI agents, and cloud AI services (Azure OpenAI, AWS Bedrock, Vertex AI).

Relevant certifications preferred but not mandatory, e.g., AWS Solutions Architect, Azure AI Engineer, Google Professional Cloud Architect.

Experienced architect combining deep AI/ML technical expertise with cloud architecture skills capable of designing enterprise-grade AI platforms.

Proven ability to translate business requirements into scalable, secure AI solutions and engage effectively with stakeholders at executive levels.

Strong leadership qualities with experience mentoring technical teams and driving innovation in fast-evolving AI/ML environments.