Top Machine Learning Jobs in Miami, FL

The AIML Director will define the enterprise strategy for AI, Machine Learning, and Generative AI, leading architecture design and delivery of innovative solutions while mentoring a high-performing team.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

The Vice President, Employer Business Development & Sales will lead and expand a new business group, focusing on sales and relationships with self-insured employers and brokers, utilizing advanced analytics in healthcare benefits management.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

Lead product managers overseeing distribution and onboarding experiences, drive product execution, manage a team, and advocate for user needs.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

The Senior Director of Data Science Initiatives and Partnerships will lead high-impact partnerships, oversee data science initiatives, and drive strategic vision at JAX, bridging research and external collaboration.

As the Engineering Manager, you'll lead technical initiatives in reporting and fraud prevention, build high-performing teams, and influence product strategy.

The Strategic Customer Success Manager drives customer satisfaction and loyalty, ensuring revenue growth by managing client relationships, identifying expansion opportunities, and aligning solutions with client goals.

The Senior Learning Consultant will analyze client needs, translate workflows into training documentation, facilitate workshops, and ensure effective training design for system implementation.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Technical Recruiter will manage full-cycle recruiting for technical and product roles, ensuring a strong pipeline of candidates and a high-quality candidate experience while using data to improve processes.

The role involves teaching graduate engineering courses, advising students, developing course content, and promoting curriculum advancements in various engineering disciplines.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Program Manager will engage with developer communities, advocate for their needs, foster relationships, and collaborate on events to boost community presence and resource sharing.

The role involves managing a client portfolio of Chief Data Officers, delivering insights on data strategy and analytics, mentoring clients, and fostering collaboration with internal teams to ensure client satisfaction and retention.

Design, develop, and deploy AI-powered documentation solutions and CCMS integrations. Implement NLP/Generative AI for content creation, translation workflows, QA checks, and translation memory optimization within regulated laboratory environments.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

Join Wasabi as an AI Engineer intern to build scalable machine learning solutions. Responsibilities include maintaining ML pipelines, model integration, and collaboration with various teams to drive AI initiatives.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

Lead the development of agentic AI systems for real estate, focusing on long-horizon, supervised experiences. Architect collaborative systems and define success metrics while mentoring a small team.

Design, develop, and deploy AI-powered documentation and content management solutions (CCMS) in a regulated life-sciences environment. Improve documentation workflows with NLP, generative AI, translation tools, and automation; lead project planning, execution, and cross-functional coordination.

Lead the design and deployment of RL post-training systems, aligning model behavior with user value and business objectives, while mentoring applied scientists and engineers.