Top Remote Machine Learning Jobs in Baltimore, MD

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

Lead the development of ranking and personalization strategies for Yahoo News and Homepage, leveraging machine learning to enhance user engagement and drive monetization metrics, while managing cross-functional teams and stakeholders.

Lead the transformation of shared developer data into valuable solutions for game developers, enhancing user engagement and monetization.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

Lead the strategy and execution of AI-powered neuro solutions at Viz.ai, collaborating cross-functionally and driving commercialization efforts.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Lead a small engineering team in developing and deploying core product functionality, ensuring high quality and security standards. Collaborate with cross-functional partners while managing and scaling the team effectively.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

The Product Manager will lead platform offerings, engage with cross-functional teams, define product metrics, and ensure the integration of intelligent machines for customers.

The role involves leading a team to design, develop, and implement AI-driven applications on the ServiceNow platform while managing all aspects of application development and integration with other systems.

Lead the Data & Analytics team, focusing on building data platforms, improving delivery speeds, and integrating Generative AI into data strategies.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.