Full Stack Data Scientist

• Engineer and manage end-to-end data and AI/GenAI pipelines, including data extraction, cleansing, transformation, training, and model deployment
• Perform data analysis, LLM prompt design, and fine-tuning
• Integrate and productionize LLM-based solutions and support RAG pipelines for scalable inference
• Conduct and iterate on LLM evaluations (Evals) for model accuracy, relevance, and reliability
• Develop advanced dashboards and visualizations for operational and strategic insights
• Use dev tools such as GitHub Copilot, Cursor, WindSurf, and others to enhance development productivity
• Design and implement model monitoring and feedback loop mechanisms to continuously improve system performance and reliability
• Stay current with the latest in Generative AI, data science, and machine learning to evaluate and apply innovations to projects

• B.Tech in Computer Science or a related field
• Advanced diploma in Data Science, Machine Learning, or related area

• 3+ years of experience building and deploying AI/ML models
• 3+ years of experience in building scalable data pipelines
• 3+ years in developing advanced visualizations that deliver impactful insights
• Experience working with LLM APIs (e.g., OpenAI, Hugging Face)

• Strong grasp of AI/ML and GenAI techniques including prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluations (Evals)
• Understanding of vector databases and embedding models
• Familiarity with cloud-native development (AWS, GCP, Azure)
• Strong understanding of databases, data lakes, and data warehouses
• Proficiency with development tools such as GitHub Copilot, WindSurf, Cursor, Replit, and related platforms

NOTE: The above Job Description is intended to communicate the general function of the mentioned position and by no means should be considered an exhaustive or complete outline of the specific tasks and functions that will be required. Additionally, specific tasks and duties of the position are subject to change as the Company, the department and circumstances change. All employees are expected to perform their duties within their ability as required by the job and/or as requested by management