Senior Data Scientist - Generative AI & Machine Learning

Responsibilities:

• Design, develop, test, and deploy Machine Learning and Generative AI solutions.
• Build Gen AI applications using LLMs, RAG, prompt engineering, Agentic AI, classifiers, and knowledge bases.
• Develop and maintain ML/AI pipelines, including data preparation, model deployment, orchestration, monitoring, and optimization.
• Develop production-ready solutions using Python.
• Take ML models and AI applications from prototype to production.
• Build and improve machine learning models using statistical and ML techniques.
• Perform feature engineering and analyze data to improve model performance.
• Troubleshoot, debug, optimize, and enhance existing applications and code.
• Implement AI solutions with appropriate security, privacy, and AI guardrails.
• Work with Data Scientists, Data Engineers, Product teams, and other technology teams.

Requirements:

• 5–7 years of experience in Machine Learning, Data Science, AI Engineering, or a related field.
• Strong Python programming skills with experience developing production-quality code.
• Hands-on experience building Generative AI applications using LLMs.
• Experience with Machine Learning and AI pipelines, including model deployment, orchestration, monitoring, and optimization.
• Strong knowledge of Machine Learning and statistical techniques.
• Experience taking ML/AI solutions from development to production.
• Strong problem-solving, debugging, and analytical skills.
• Good communication and ability to work effectively with cross-functional teams.

Education:

• Master’s or Ph.D. degree in Data Science, Machine Learning, Computer Science, Applied Mathematics, Statistics, or a related quantitative field.