Primary Responsibilities:

• Lead end-to-end AI driven solution development, from problem framing to model deployment and monitoring
• Design and implement predictive, statistical, and machine learning models
• Analyze large, complex datasets across multiple domains to uncover trends, patterns, and business insights
• Collaborate with Data Engineering to productionize models using scalable pipelines and cloud platforms
• Apply responsible AI principles, including model explainability, fairness, and governance
• Mentor junior data scientists and provide technical guidance on best practices
• Continuously evaluate emerging AI/ML techniques and tools to drive innovation and reuse

Required Qualifications:

• Bachelor's degree in Data Science, or Computer Engineering
• 4+ years of hands-on experience in analytics or applied machine learning
• Experience building and validating statistical and ML models in real-world business settings
• Experience working with cloud data platforms (Azure)
• Experience with GenAI or LLMs, NLP
• Healthcare industry experience
• Familiarity with ML Ops, model lifecycle management, and monitoring in production
• Solid understanding of data modeling, feature engineering, and model evaluation techniques
• Solid proficiency in Python, PySpark and SQL