DATA SCIENTIST-ADVANCED ANALYTICS

Your role and responsibilities

• Lead end to end Databricks implementations covering data ingestion, ETL and ELT pipelines, Delta Lake architecture, feature engineering, MLflow based model development, deployment, and monitoring, and extend the platform with Databricks Agents and Databricks Apps to build governed, secure, and scalable AI driven applications for enterprise use cases.
• Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
• Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms
• Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLaMA, with Retrieval Augmented Generation RAG and advanced RAG patterns including hybrid search, vector databases, re ranking, prompt optimization, and context grounding for enterprise scale use cases.
• Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to design, orchestrate and govern multi agent workflows.
• Skilled in leveraging ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
• Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). 
• Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
• Maintain reproducibility and version control using Git, GitHub
  • Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders.