Top Machine Learning Jobs in Baltimore, MD

The Principal Solutions Architect will analyze environments, design solutions, guide IT projects, and ensure technical and functional alignment with business requirements, focusing on the Department of Veteran Affairs.

As Founding Head of Product, you will define and own the product strategy, working across teams to shape AI-driven solutions and ensure market fit for Sciemo.

Lead the Client Solutions team, ensuring the execution of complex transactions while driving innovation and client advocacy. Oversee operations, build client relationships, and implement strategic frameworks for growth.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Marketing Manager will lead strategic campaigns, manage content, collaborate with teams, analyze performance, and stay ahead of industry trends to drive brand awareness and customer engagement.

The Business Analyst 2 analyzes AI-powered data solutions, optimizes customer experience automation, and collaborates with teams to drive business insights and value.

The Research Scientist will conduct studies on natural language processing and machine learning, transition models to production, conduct experiments, publish research, and create new models to enhance products.

The Director of Strategy & Innovation at Viz.ai will drive new opportunities in healthcare by leading strategic projects, developing product concepts, and collaborating with cross-functional teams. Ideal candidates should have an MD, MBA, strong analytical and communication skills, and healthcare strategy experience.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

Own end-to-end go-to-market strategies for FiftyOne Enterprise, bridging technical ML engineering with commercial goals through strategic messaging, GTM execution, and market intelligence.

Lead the analytics strategy for Yahoo Mail, overseeing product engagement and retention. Manage a data science team, design experiments, and provide insights to inform product development.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

The Director will develop and enhance credit strategies using ML and data analytics, oversee credit quality, and ensure compliance while guiding a team.

The Senior Manager of Credit Risk Analytics oversees credit strategies and risk management for Personal Loan portfolios, ensuring compliance, optimizing performance using ML, and collaborating cross-functionally to enhance business growth and minimize credit losses.

The Director of Adversary Engineering will define strategies for log management and security automation, lead the development of automated workflows, and optimize security systems using AI/ML techniques.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

The Chief Information Officer at Ciena will lead enterprise technology strategy, oversee IT operations, develop data strategies, and ensure cybersecurity while managing a globally distributed IT organization.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

As Director of Engagement Management, oversee the team, drive customer success strategies, manage operations, and enhance product utilization while fostering team development and customer relationships.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

Lead the Mid-Market Sales team to connect technical organizations with AI and data science tools, driving adoption and growth through value-based selling and strong partnerships with engineering teams.

The Director of Personalization & Retention will develop and execute a personalization strategy, leveraging AI to enhance customer engagement and drive revenue. Responsibilities include leading a marketing team, collaborating cross-functionally, and optimizing customer experiences through data-driven insights and testing frameworks.

The Lead Data Scientist will architect AI solutions for the energy sector, develop ML algorithms, and collaborate with leadership to shape product strategy.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.