Key skills
CloudHadoopPySparkPythonSparkSQLAIMachine LearningMLDeep LearningGenerative AIGenAILangChainMLOpsAnalyticsGitHubAgileCI/CDLeadership
About this role
Role Overview
- Lead and mentor a team of data scientists and AI engineers
- Define and drive the AI/ML roadmap for healthcare analytics
- Partner with business stakeholders to translate complex healthcare challenges into actionable AI solutions
- Oversee project delivery and performance management for the data science team
- Apply deep understanding of healthcare and health insurance data
- Ensure compliance with healthcare regulations and data governance standards
- Architect and implement machine learning, deep learning, and generative AI solutions
- Manage scalable AI/ML solutions on cloud platforms
- Engage with cross-functional teams to deliver data-driven insights and AI-powered products
- Champion best practices in agile development and code management
Requirements
- 7+ years of experience in data science, AI, and ML-Ops engineering roles
- Demonstrated leadership experience managing data science or AI teams
- Deep expertise in Python, PySpark, SQL, and big data technologies (Hadoop, Spark)
- Hands-on experience with GenAI frameworks (LangChain, HuggingFace, LLMs)
- Strong understanding of healthcare data, regulatory compliance, and domain-specific modeling
- Proficiency in MLOps, CI/CD, GitHub, and agile methodologies.
Tech Stack
- Cloud
- Hadoop
- PySpark
- Python
- Spark
- SQL
Benefits
- Health insurance
- Paid time off