54 results for Machine Learning jobs

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary
35 - 45 USD / Hourly
We are looking for a highly skilled Senior Data Scientist to join our Enterprise Analytics team in Easton, OH. This long-term contract position offers the opportunity to leverage cutting-edge data science techniques to drive business insights and optimize customer experiences. As part of a centralized team, you will collaborate across departments to influence strategic decisions and deliver actionable insights that align with organizational goals. This will be a contract-to-permanent role, 4 days onsite per week in the Easton neighborhood of Columbus. Responsibilities:• Utilize advanced analytics techniques to analyze business data and uncover actionable insights.• Develop and implement large-scale experiments and data-driven models to address complex business challenges.• Conduct research on emerging tools and methodologies in machine learning, deep learning, and artificial intelligence.• Define requirements for training and evolving deep learning models and algorithms.• Present data-driven recommendations to product teams and other stakeholders to guide decision-making.• Partner with cross-functional teams, including Marketing, Finance, IT, and Sales, to support organizational goals.• Create intuitive data visualizations and performance metrics to enable stakeholders with actionable insights.• Collaborate within an Agile development framework to support projects from inception to delivery.• Influence the direction of the organization through impactful analytics and strategic consultation.• Perform other duties as needed to support the broader analytics team.
2026-04-10T00:00:00Z

Data Engineer IV

Philadelphia, PA
onsite
Temporary
55 - 65 USD / Hourly
Senior Data EngineerLocation: Philadelphia, PA (Hybrid/Onsite as required)Employment Type: 39 Week Contract, Potential for ExtensionPosition OverviewWe are seeking an experienced Data Engineer to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.Key Responsibilities<ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
2026-04-02T00:00:00Z

Software Engineering IV

Washington, DC
onsite
Temporary
44 - 51 USD / Hourly
Role OverviewWe are seeking experienced Mail Engineers to support enterprise‑level messaging and mobile device management services within a highly regulated, government‑facing environment. This role is responsible for the design, configuration, integration, testing, release, maintenance, and operational support of Microsoft O365 and Exchange platforms. The engineer will collaborate closely with service desk, engineering, infrastructure, and customer stakeholders to ensure the reliability, security, and availability of mail and MDM services. Key Responsibilities<ul><li>Design, configure, integrate, test, release, maintain, and support Microsoft O365 Cloud services, including:</li><li>Exchange Online</li><li>Outlook</li><li>OneDrive for Business</li><li>Azure Active Directory</li><li>Microsoft Intune with Apple Business Manager</li><li>Microsoft Security & Compliance tools</li><li>Support Enterprise Messaging and MDM services in a production, regulated environment</li><li>Work collaboratively with Service Desk, Incident Management, Desktop Engineering, Executive Support, Application Hosting, and Infrastructure teams</li><li>Manage incidents and service requests according to urgency, impact, priority, and SLAs, including:</li><li>Assessment and assignment</li><li>Queue monitoring</li><li>Resolution and closure</li><li>Coordinate change and release management activities for mail and MDM services, including:</li><li>Architecture and configuration planning</li><li>Risk and impact analysis</li><li>Scheduling and staffing</li><li>Testing, implementation, and post‑release monitoring</li><li>Troubleshoot outages, performance issues, and defects through root‑cause analysis, applying workarounds and permanent fixes</li><li>Partner with infrastructure teams and third‑party vendors to resolve complex technical issues</li><li>Assess and respond to security incidents and vulnerabilities; implement patches, upgrades, and email‑blocking remediation</li><li>Monitor and report on system performance, access, licensing, and capacity, providing recommendations for improvement</li><li>Maintain technical documentation including:</li><li>System designs and architectures</li><li>Standard operating procedures (SOPs)</li><li>Work instructions and knowledge articles</li><li>Licensing and support agreements</li><li>Deliver daily operational reporting and communicate status, risks, and expectations to stakeholders</li></ul>
2026-04-11T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-03-31T00:00:00Z