Lead data science and machine learning initiatives to improve student and business outcomes for an education technology company.
Responsibilities
Lead data science and AI/ML initiatives from problem definition through implementation and measurement
Turn ambiguous business problems into clear data science opportunities and measurable outcomes
Own technical direction of assigned initiatives and make recommendations on tradeoffs
Work closely with Product, Engineering, Customer Experience, Partnership, and university partner teams to implement solutions
Identify new opportunities for machine learning, experimentation, causal inference, optimization, or AI
Requirements
Bachelor's or Master's degree in computer science, statistics, econometrics, mathematics, engineering, or another quantitative discipline, or equivalent relevant experience
Nice to have: PhD in a quantitative or technical discipline
Own the product vision, strategy, and roadmap for software products supporting our semiconductor IP portfolio for our datacenter compute portfolio of products
Define requirements for SDKs, toolchains, compilers, debuggers, simulators, firmware, board-support packages, drivers, middleware, operating-system enablement, and developer tools
Develop a deep understanding of customer workflows, including IP evaluation, SoC integration, software porting, bring-up, validation, performance optimization, and production deployment
Engage directly with customers, partners, and software developers to identify pain points, validate product concepts, and prioritize improvements
Translate customer and ecosystem requirements into clear product requirements, user stories, release plans, and acceptance criteria
Requirements
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field
Senior Data Scientist focused on data engineering, responsible for discovering, connecting, transforming, and operationalizing engineering data for downstream AI systems and applications.
Compensation
$90,900.00 - $189,800.00
Responsibilities
Discover engineering data and knowledge sources across distributed systems and repositories
Build data-ingestion and integration pipelines
Connect structured and unstructured engineering data
Implement metadata, cataloging, lineage, and discoverability capabilities
Establish data quality, validation, and observability practices
Requirements
Bachelor’s degree in data engineering, computer science, engineering, or related field
Design, build, ship, and maintain internal software applications and services for Mosaic Pediatric Therapy, focusing on secure, compliant, AI-enabled solutions.
Compensation
Competitive salary based on experience
Responsibilities
Design and build internal applications
Own end-to-end software development lifecycle
Set engineering standards and best practices
Ship AI-enabled software and agentic workflows
Ensure production reliability and incident response
Requirements
Nice to have: Microsoft ecosystem (Azure, .NET, SQL Server, Microsoft Fabric, Entra ID, Power Platform)
Nice to have: ETL/ELT pipelines
Nice to have: Lakehouse or data warehouse environments
Nice to have: Infrastructure-as-code (Bicep, Terraform, ARM)
Hands‑on Technical Lead to drive operational sustainability for DEX Sustainability, translating technical debt and resilience risks into practical solutions.
Compensation
Daily Rate: Inside IR35 £675 Per Day
Responsibilities
Provide hands‑on technical leadership across the DEX Sustainability scope
Lead technical investigation and resolution of complex platform stability, performance and resilience issues
Work directly with engineers, developers, infrastructure, database and support teams to diagnose issues and validate solutions
Lead root‑cause analysis of recurring incidents, technical constraints and systemic issues
Translate operational challenges and technical debt into clear technical requirements and deliverable remediation
Requirements
Degree or equivalent technical experience
Nice to have: Legacy platform/mainframe and database awareness
Experienced Transaction Banking Project Manager with 10–15 years of experience in managing complex banking technology and digital transformation projects.
Responsibilities
Manage complex banking technology and digital transformation projects
Manage legacy system migration to new digital platforms
Oversee data migration strategy, migration planning, reconciliation, testing, cutover, and post-migration stabilization
Coordinate system integration and stakeholder coordination
Manage end-to-end project delivery within banking environments
Requirements
PMP-Certified
Nice to have: Large-scale implementation or migration projects
Senior AI Engineer / Agentic AI Solutions Architect to build and launch a new Enterprise AI team focused on developing, deploying, and managing AI solutions across the organization.
Locations (3)
Minneapolis, Minnesota, United States
St Paul, Minnesota, United States
Eden Prairie, Minnesota, United States
Responsibilities
Design, develop, deploy, and maintain AI agents and agentic workflows using GCP and Google's Agent Platform
Build and manage integrations within the Gemini Enterprise ecosystem
Develop standalone AI agents, multi-agent workflows, and automated business processes
Establish monitoring, performance optimization, and ongoing support for production AI solutions
Identify user-developed AI workflows and migrate them into scalable, centrally managed enterprise solutions
Founding AI Engineerkos.ai · San Francisco
Senior Data Engineer & Scientisttrane technologies · Davidson, US
Senior Software Engineer, Internal PlatformsMosaic Pediatric Therapy · Remote, US
Quantitative Researcher - Machine LearningDRW · London, United Kingdom+1 more