Top Senior Machine Learning Jobs in Minneapolis, MN

Own the strategy, roadmap, commercialization, and revenue outcomes for an AI-powered healthcare revenue cycle automation portfolio. Lead pricing, packaging, market analysis, launches, customer adoption, and portfolio performance. Partner with engineering, data science, design, clinical, legal, compliance, sales, and marketing teams to deliver explainable, auditable AI workflows and scale products from concept through multi-customer deployment.

Leads AI innovation and adoption across a healthcare advisory practice. Develops and deploys predictive models, generative AI, machine learning, and analytics solutions for value-based care and payment challenges. Oversees data readiness, governance, responsible AI reviews, model monitoring, stakeholder adoption, and client delivery. Translates complex analytics into executive-ready insights, dashboards, and presentations while building reusable assets, training teams, and driving enterprise AI strategy.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Develop and analyze alternative navigation algorithms and systems for aerospace applications. The role involves integrating sensor-fusion solutions, conducting research and testing, validating navigation performance, and collaborating with multidisciplinary teams. Responsibilities include developing resilient navigation for GPS-denied environments, modeling errors, detecting and mitigating faults, and transitioning research innovations into deployable aerospace products. The position is hybrid in Redmond, Washington, or Plymouth, Minnesota, with no relocation offered.

Leads the design, development, deployment, and monitoring of AI and machine learning models for supply chain decision-making. Extracts and integrates complex data, performs analysis, develops forecasting and optimization solutions, and embeds models into business workflows. Communicates findings to technical and non-technical stakeholders while partnering with business and technology teams to advance AI adoption and deliver measurable impact.

Develop and support enterprise applications using Java, Spring Boot, MuleSoft, Talend, microservices, APIs, and Azure. Build integrations, ETL and data conversion solutions, cloud-native services, AI-enabled automation, monitoring, and operational dashboards. Troubleshoot complex production issues, improve resiliency, and collaborate with QA, DevOps, infrastructure, and business teams. The role supports claims and provider operations in a 24x7 environment.

Leads multiple AI/ML engineering teams delivering enterprise AI, generative AI, agentic AI, and automation solutions. Oversees platform strategy, software delivery, responsible AI governance, cloud adoption, and operational excellence. Partners with product and engineering leaders on healthcare solutions, mentors technical teams, and manages AI initiatives spanning claims automation, conversational AI, predictive analytics, and intelligent workflows.

Design, develop, deploy, and optimize scalable AI/ML solutions, including LLM applications, RAG pipelines, AI agents, and MLOps workflows. Build production-grade ML pipelines, automation frameworks, monitoring, evaluation, and governance capabilities using Python and AWS services. Collaborate with technical and business teams to integrate reliable AI solutions into production systems and continuously improve model performance, scalability, and compliance.

Leads FP&A and forecasting transformation within Finance AI pods. Maps current processes, designs AI-enabled future-state workflows, defines requirements, validates proof-of-concept systems, and ensures financial outputs are accurate, explainable, auditable, and adoptable. Partners with Finance, Data, Technology, Risk, Controls, and executive stakeholders to improve forecasting, variance analysis, scenario modeling, performance reporting, and decision support.

Leads financial statement audits for digital assets and financial services clients, evaluating regulatory compliance, governance, risk management, and internal controls. Applies advanced auditing and technical accounting expertise to identify material misstatements and issue audit reports. Directs complex engagements, coaches diverse teams, manages client relationships, communicates findings, and reinforces professional, independence, and ethical standards. The role also involves data analysis and exploring AI and machine learning platforms to improve processes.

Provides technical account management for enterprise customers using Samsara’s IoT platform. Builds customer relationships, troubleshoots APIs, hardware, software, and AI technologies, manages significant incidents, aligns solutions with business needs, maintains account records, and serves as a trusted technical advisor. Collaborates with internal teams, supports customer growth, contributes to TAM team development, and provides occasional travel and after-hours coverage.

Leads complex enterprise AI consulting engagements, designing and implementing generative AI, agentic AI, MLOps, model-serving, and infrastructure solutions. Advises executives, leads architecture reviews and technical governance, supports sales pursuits, develops standards and reusable offerings, and mentors technical teams. The role requires strong expertise in AI architecture, NVIDIA technologies, Python, Kubernetes, GPU infrastructure, security, operations, and client-facing consulting.

Define and own the technical vision, product strategy, roadmap, data strategy, and AI integration for CrowdStrike’s Next-Gen SIEM and log management products. Translate customer, market, and threat intelligence into shipped capabilities; lead cross-platform integration across endpoint, cloud, identity, and exposure products; and articulate the platform consolidation narrative. Engage executives, customers, analysts, sales, engineering, and product teams while driving detection, investigation, response automation, and cybersecurity thought leadership.

Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.

Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.

Build and deploy production-grade AI and machine learning solutions for marketing and sales, including LLM agents, data-quality pipelines, semantic search, RAG, analytics, and integrations with Salesforce, Marketo, and Adobe platforms. Define evaluation and governance practices, monitor AI services, implement privacy controls, and collaborate with platform teams. Train and mentor technical and business stakeholders on responsible AI adoption while supporting DevOps, incident response, and operational runbooks.

Designs and builds scalable, secure AI/ML solutions for healthcare clients, including LLM workflows, AI agents, copilots, and intelligent automation. Leads solution architecture, prototyping, cloud deployment, evaluation testing, troubleshooting, and production delivery. Translates ambiguous business and clinical needs into actionable technical solutions while advising stakeholders and collaborating across product and engineering teams.

Designs, builds, deploys, and scales agentic AI solutions for healthcare clients. Responsibilities include architecting systems integrating LLMs, machine learning models, APIs, and enterprise platforms; developing production-grade AI applications; evaluating agent performance; troubleshooting cloud-based distributed systems; and translating business and clinical needs into actionable technical solutions. The role also leads client engagements, collaborates cross-functionally, and communicates recommendations to technical and executive stakeholders.

Leads complex AI strategy and solution-delivery engagements for pharmaceutical, biotechnology, and medical technology clients. Serves as the primary client advisor, translating scientific, operational, technical, and regulatory needs into scalable solution designs and implementation plans. Manages governance, workstreams, risks, resources, and executive reporting while guiding multidisciplinary teams. Develops reusable AI delivery methods, reference architectures, playbooks, and enterprise offerings, incorporating privacy, cybersecurity, model risk, validation, GxP, and responsible AI considerations.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.

Lead product strategy, roadmap, and delivery for Falcon Complete’s internal MDR tooling, including AI-powered investigation and triage, ticketing, case management, and analyst workbench systems. Partner with security operations, analysts, engineering, and data science teams to translate workflows into product requirements, prioritize automation, improve analyst productivity and response times, define success metrics, and enhance customer outcomes.

Develop and implement data science strategies for machine learning applications including lead scoring, churn modeling, pricing, personalization, and fraud detection. Own end-to-end initiatives spanning data analysis, feature engineering, model training, inference, and monitoring. Collaborate with engineering, infrastructure, analytics, and business teams to deliver measurable impact, improve data capabilities, and communicate findings to technical and non-technical stakeholders.

Leads client-facing generative AI and data modernization engagements, directing solution design, delivery planning, architecture, and technical decisions. Guides teams in prompt engineering, context engineering, agent orchestration, LLM evaluation, RAG, vector databases, and AI guardrails. Oversees cloud AI implementations using Gemini, Vertex AI, AWS Bedrock, or Azure AI Services; develops Python prototypes; evaluates model performance; manages workstreams and deliverables; and mentors staff on AI methods, agile delivery, and technical problem-solving.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.