Omada Health is looking to advance its platform and enablement capabilities for analytics, data science, and AI initiatives by designing and building scalable, efficient, and robust platforms and architectures to support analytics, machine learning, and data-driven decision-making across the organization.
Requirements
- 8+ years of experience in software engineering, with a focus on building platforms for analytics, data science, and AI
- Strong programming skills in languages such as Python, Java, Scala, or similar
- Experience with AI-specific infrastructure, including model serving (e.g., TensorFlow Serving, NVIDIA Triton), feature stores (e.g., Feast, Hopsworks), and experimentation platforms (e.g., MLflow, Kubeflow)
- Expertise in designing and implementing data architectures, including data lakes, warehouses, and real-time processing systems
- Experience with cloud-based data and AI platforms (e.g., AWS, Azure, GCP) and associated tools
- Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) and their integration into production environments
- Knowledge of distributed computing technologies (e.g., Spark, Kubernetes) and their applications in data engineering and AI
Responsibilities
- Drive the design, development, and deployment of scalable AI and data platforms
- Architect and implement robust, secure, and high-performance systems for data ingestion, storage, processing, and model lifecycle management
- Collaborate with analytics, data science, and machine learning teams to anticipate challenges, align on requirements, and ensure platforms enable data-driven decision-making across the organization
- Evaluate, adopt, and integrate state-of-the-art tools, frameworks, and technologies to optimize platform performance, scalability, and cost-efficiency
- Provide leadership and mentorship to engineers across teams, fostering skill development in AI and data enablement
- Establish and enforce best practices for platform engineering, including data security, privacy, compliance, and governance standards
- Drive continuous improvement in deployment strategies, monitoring, and incident response processes
Other
- 8+ years of experience
- Demonstrated ability to lead technical projects from concept to delivery
- Excellent problem-solving skills and ability to navigate complex technical challenges
- Strong collaboration and communication skills to work effectively with cross-functional teams
- Competitive salary with generous annual cash bonus and equity grants
