Top Machine Learning Jobs in Miami, FL

The Territory Director role involves building strategic partnerships, acquiring new customers, and executing territory development strategies to drive sales and growth for phData.

The Head of Communications & Brand Innovation at Socure will develop modern communication strategies combining storytelling with automated brand distribution while managing reputation and analyst relations.

The Senior Underwriting Manager oversees life underwriting operations, drives performance improvements, and mentors a team while ensuring compliance and efficiency.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Senior Power System Studies Engineer designs and applies AI/ML techniques for power system optimization, conducts simulations, and mentors junior engineers.

As a Software Engineer at Speechify, you will work with machine learning teams to enhance AI Voice functionalities, manage deployments, and improve model efficiency.

The GTM role focuses on increasing revenue through new sales and partnerships, understanding client needs, and communicating product value.

As Chief Product & Technology Officer, you will lead technology and product strategy, oversee product lifecycle, and scale teams at FutureFit AI to support workforce development.

The Head of Solution Consulting will lead a team in the Financial Services vertical, focusing on technical support during the sales cycle and product implementation while collaborating with other departments to drive growth and innovation.

As a Senior ML Solutions Engineer, you will leverage your technical expertise to demonstrate SuperAnnotate products to clients, lead pre-sales efforts, and drive integration strategies in AI projects across diverse industries.

The intern will contribute to AI initiatives for Navy's IT programs, focusing on performance management, data pipelines, and automation using AI and programming.

The role involves developing AI solutions, managing user behavior insights, and deploying large-scale AI services with collaborative efforts in a remote environment.

The Machine Learning Engineer will design, train, and evaluate computer vision models, collaborate on engineering improvements, and deploy ML systems for surgical workflows.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

Lead design and development of AI/ML demos on Snowflake platform, collaborating with product teams to align with releases and providing technical expertise in data science and MLOps.

The Senior ML Engineer will design evaluations for AI features, optimize pipelines, and ensure quality in ML systems while collaborating with cross-functional teams.

The role involves managing data pipelines for 3D generative models, developing infrastructure, collaborating with research teams, and ensuring data quality.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Lead the design and deployment of scalable ML infrastructure, focusing on MLOps and LLM strategies, while mentoring team members and ensuring operational maturity.

Design and deliver customer experience solutions using machine learning techniques, analyze customer data, implement ML algorithms, and automate processes.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.

The Senior Product Manager will drive AI product development, analyze user data, collaborate across product teams, and lead agile execution strategies.

Develop and deploy machine learning models for predictive analytics, automate risk assessments, and extract data using advanced AI techniques. Collaborate with teams to enhance the product portfolio with innovative solutions.

As a Machine Learning Engineer, you will design, develop, and deploy voice and digital agents to manage customer interactions, focusing on reliability and efficiency.