Responsible for building and deploying machine learning models in production environments, designing and implementing ML pipelines, and providing mentorship.
Responsibilities
Designing and developing machine learning (ML) models and algorithms
Implementing and maintaining ML pipelines and workflows
Collaborating with data scientists and analysts to deploy and monitor ML models
Developing and implementing ML deployment and monitoring strategies
Providing guidance and mentorship to junior ML engineers
This role provides the most senior level IT technical lead services, directing technology strategy across platforms and teams, while delivering user-centric full-stack solutions and managing scalable backend integration.
Responsibilities
Provides senior-level technical leadership for complex software, middleware, and hardware initiatives across multiple platforms.
Delivers high-impact architectural design, development, and maintenance solutions.
Ensures viability and effectiveness of IT deliverables by evaluating development options, approving architectural decisions, conducting functionality and security testing, and overseeing production support.
Resolves complex technical problems, performs root cause analysis, and proactively mitigates risks introduced by less experienced staff.
Anticipates and prevents potential system failures.
Requirements
Bachelor’s degree (B.E./B.Tech) in relevant fields such as Computer Science, IT, or Software Engineering
Senior Data Engineer in the Data Architecture team, responsible for designing, building and running data pipelines and platform components on Microsoft Fabric, leading workstreams, coaching engineers, and ensuring secure, reliable data for analytics and AI.
Responsibilities
Design, build and run data pipelines using Fabric Data Factory and Fabric Lakehouse
Own ingestion of data from core systems such as Workday, Dynamics 365, Business World and SharePoint
Design data structures in Fabric Warehouse and Lakehouse and deliver curated datasets for Power BI and other reporting
Build security, data classification and access controls into pipelines and review others' work
Redesign legacy ETL and ELT processes for Fabric and plan cut-over
A hybrid role spanning product management, product design, and hands-on implementation to identify and solve problems using agentic GenAI solutions within healthcare contexts.
Compensation
CHI - $110,000 - $140,000
Responsibilities
Partner with customer and business leaders to uncover high-impact use cases where GenAI can deliver measurable value.
Through customer research, problem discovery and systems thinking, translate vague operational challenges into clear, functional solutions
Build rapid prototypes / proof-of-concepts to validate ideas and drive alignment
Design and implement agent-based solutions — from workflow automation to patient communication, insight generation, or clinical operations
Work directly with LLMs and agent frameworks (prompt design, chaining, context management, evaluation, and guardrails)
Design and build scalable backend services and APIs that power a document analysis platform, while contributing to frontend features and ensuring high performance and reliability.
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Design and build scalable backend services and APIs
Write maintainable, high-performance server‑side code and data processing pipelines
Define clear, efficient API contracts and contribute to service architecture decisions
Build and maintain integrations with third‑party services and internal ML systems
Contribute to frontend features and components as needed
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field