Top Machine Learning Jobs in Hartford, CT

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Analyzes the Security for AI competitive landscape, including AI detection and response, generative AI security, autonomous agents, prompt injection, and data leakage. Partners with Product, Sales, Marketing, Strategy, and senior leaders to guide product roadmaps, go-to-market strategy, deal support, sales tactics, and competitive positioning. Conducts win/loss analysis and translates complex AI and cybersecurity concepts into executive and field-actionable guidance.

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 CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, prioritization, and roadmaps. Develops consulting methodologies, delivery frameworks, sales enablement, and thought leadership. Advises executives and customers, leads complex presales pursuits, shapes proposals and business cases, oversees delivery quality and risk, evaluates technical feasibility, and mentors consulting and presales teams.

Supports CrowdStrike Falcon Intel Recon customers by analyzing and triaging cyber threat intelligence, explaining dark web findings, managing customer relationships, escalating noteworthy intelligence, and communicating feedback to Intelligence and Engineering teams. The role requires knowledge of threat intelligence lifecycles, dark web ecosystems, enterprise security, customer engagement, AI-enabled workflows, and presenting technical information to varied audiences. Travel is minimal to light, up to 25%.

Develop and evaluate predictive models for personal auto pricing and demand. Responsibilities span data exploration, feature engineering, model development, validation, implementation, monitoring, regulatory support, and MLOps modernization. The role also involves maintaining analytic packages and repositories, improving workflows, ensuring reproducibility, conducting code reviews, collaborating in Agile projects, and communicating recommendations to business partners.

Leads Voya’s enterprise AI, automation, intelligence, and data strategy and operations. Builds scalable AI and agentic platforms, embeds AI across software development, industrializes machine learning and data science, advances intelligent automation, and establishes enterprise data and knowledge architecture. The executive also drives responsible AI governance, security, adoption, measurable business outcomes, and high-performing distributed teams across AI engineering, platform engineering, data science, automation, and data.

Own product vision, roadmap, and backlog priorities for two to three agile teams supporting insurance risk services. Translate customer and business needs into features, user stories, and acceptance criteria; guide sprint delivery and accept completed work. Partner with stakeholders, Scrum Masters, Agile Release Train partners, data scientists, and ML engineers to deliver ethical, explainable AI-enabled capabilities. Analyze delivery metrics, manage trade-offs, and align teams with business objectives.

Lead enterprise solution architecture for AI-powered customer experience platforms. Own voice, networking, VDI, AWS, API, integration, RAG, and agentic AI architectures while guiding technical discovery, demonstrations, pilots, and value assessments. Partner with customers, sales, Product Management, Engineering, and Professional Services to deliver secure, scalable, resilient solutions. Influence product direction and enable solution consultants, partners, and account teams through reusable blueprints, training, workshops, and technical support.

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.

Leads a globally distributed technology organization supporting benefits administration platforms, enrollment, eligibility, carrier connectivity, and client experiences. Sets modernization strategy, advances AI and automation, oversees engineering delivery and platform reliability, manages peak operational readiness, and guides integration, technical debt reduction, and legacy transformation. Builds executive, client, and partner alignment while developing leadership capability, succession, and accountability across U.S. and India teams.

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Designs and builds large-scale clinical, claims, and document data platforms on Google Cloud. Leads architecture, production engineering, AI-assisted development and operations, including agent guardrails, observability, automation, auditability, and regulated-environment controls. Develops AI and machine learning systems involving retrieval, extraction, evaluation, and serving. Partners across engineering, security, privacy, compliance, and governance teams while communicating technical strategies to executives and customers.

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.

Build and deploy production AI/ML systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, cost, lead-time, supplier-risk, anomaly-detection, and cash-flow modeling; real-time inference pipelines; MLOps; data infrastructure; governance; and cross-functional AI adoption. The role also sets the supply-chain AI roadmap, mentors junior scientists, establishes modeling standards, and partners with Planning, Procurement, Finance, Engineering, and Operations.

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.

Senior Software Engineer responsible for architecting, developing, modernizing, and supporting enterprise applications using Microsoft technologies, cloud platforms, microservices, and APIs. The role leads IBM i modernization, SQL Server optimization, Azure cloud adoption, AI and generative AI integration, DevOps automation, architecture standards, code reviews, and team mentoring.

Build and operate secure, scalable production infrastructure for agentic AI platforms across AWS and Azure. Responsibilities include CI/CD automation, infrastructure as code, cloud security, governance, monitoring, observability, model lifecycle management, drift detection, incident response, networking, resilience, and cost optimization. The role establishes production-readiness standards, supports AI deployments, and partners with engineering, product, security, compliance, and business teams.

Leads AI and computational algorithm research, development, clinical validation, deployment, and lifecycle monitoring for oncology diagnostics. Sets foundation model and multimodal AI strategy, prioritizes clinical use cases with Product and clinical stakeholders, manages multidisciplinary algorithm teams, recruits technical leaders, and ensures regulatory-quality data, validation, reproducibility, release controls, and post-launch performance monitoring.

Own and build Fireworks’ customer marketing function, including advocacy, enterprise reference programs, customer stories, peer-to-peer events, co-marketing, awards, and customer-led expansion initiatives. Recruit and develop technical and executive advocates, create compelling proof for sales and marketing, manage customer approvals, and collaborate with Sales, Customer Success, Product Marketing, Developer Relations, Product, and Events. The role requires hands-on strategy and execution in a fast-moving AI infrastructure company.

Research and prototype AI-powered tools for music generation, transformation, remixing, and audio understanding. Build and evaluate machine learning models using Python and modern frameworks, process audio datasets, assess model performance and musical quality, and collaborate with engineering, music technology, product, and creative teams. The intern will also document findings and contribute to responsible AI practices involving artist consent, music rights, and ethical data use.

Develops statistical, machine learning, AI, and predictive solutions to solve complex business problems. Mines and analyzes large datasets, builds algorithms and automated data processes, validates models, and communicates insights to business and product leaders. Designs enterprise AI applications, including generative AI and RAG solutions, while supporting data governance, visualization, security, scalability, monitoring, and responsible AI practices.

Lead the technical aspects of enterprise security sales, including discovery, tailored demonstrations, proof-of-value engagements, RFP responses, and architecture discussions. Build relationships with SOC analysts, security architects, and CISOs; translate customer feedback into product improvements; create reusable sales enablement assets; and support early implementation handoffs. The role requires security operations expertise, cloud knowledge, scripting ability, and familiarity with AI and machine learning concepts.