Top Machine Learning Jobs

Machine Learning Engineers design and implement data-driven solutions, build scalable ML systems, and collaborate with cross-functional teams at CapTech.

The Lead Machine Learning Engineer at CapTech designs and implements data-driven solutions, providing technical leadership while collaborating with clients and teams to optimize and scale machine learning systems.

The Machine Learning Engineer will design and implement scalable machine learning solutions while collaborating with clients and cross-functional teams. Responsibilities include analyzing datasets, developing analytical solutions, and growing CapTech's practices.

The Machine Learning Engineer designs and implements scalable machine learning systems, collaborates with cross-functional teams, analyzes large datasets, and develops data-driven solutions for clients.

The AI/ML Software Developer will design, develop, and maintain AI applications, collaborate with teams, solve problems, and manage software debugging and documentation tasks.

The Lead Machine Learning Engineer will design and implement scalable machine learning solutions, lead teams, and analyze large datasets using cloud technologies.

Lead the design and implementation of machine learning solutions, providing technical leadership and mentoring in developing scalable systems for clients.

CapTech seeks a Machine Learning Engineer to design and implement scalable ML systems, analyze large datasets, and collaborate with cross-functional teams for data-driven solutions.

The Machine Learning Engineer will design and implement scalable ML systems, analyze large datasets, and collaborate with teams to meet client needs.

Lead Machine Learning Engineer is responsible for designing and implementing data-driven solutions, optimizing and deploying machine learning systems, and mentoring junior staff while working collaboratively across teams.

The Lead Machine Learning Engineer at CapTech designs and implements scalable machine learning systems, collaborates with teams, and provides technical leadership while optimizing enterprise data-driven solutions.

The Machine Learning Engineer designs and implements scalable solutions for clients, analyzing datasets, productionizing ML systems, and leading teams.

Lead Machine Learning Engineers at CapTech design and implement data-driven solutions, focusing on scalable systems, client collaboration, technical leadership, and mentoring.

The Machine Learning Engineer designs and implements data-driven solutions, develops scalable ML systems, analyzes datasets, and leads client collaborations.

Design, build, and deploy large-scale distributed AI/ML applications (IVR, voice, chat) including multi-agent systems and LLMs. Collaborate with product and data science, ensure reliability, scalability, monitoring, and bring research-driven innovations into production using cloud, containers, and IaC practices.

As an AI/ML Engineer and Data Scientist, you'll analyze data, develop predictive models, and provide insights to clients across various sectors, using advanced statistical techniques and machine learning tools.

As a Machine Learning Researcher, you'll develop deep learning models for trading strategies, collaborate with teams, and advance ML techniques in finance.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

Seeking a Senior Machine Learning Engineer to design and implement ML systems, optimize deployment, and collaborate with data teams, focusing on scalability and performance.

The Machine Learning Engineer will develop ML models for quality assurance in additive manufacturing, collaborate with engineering teams, and deploy solutions in production.

Lead end-to-end development of detection algorithms and production ML/physics/LLM models for HVAC sensor time-series. Build evaluation harnesses, label fault sets, optimize data pipelines, and translate model outputs into actionable field insights while partnering with hardware, software, and business teams to ship reliable customer-facing features.

Design and implement backend and systems-level software for defense and intelligence, integrating signal-processing and machine-learning algorithms into real-time, field-ready systems. Collaborate in small teams to prototype, architect, and deploy extensible solutions that integrate with existing infrastructure while translating customer requirements into development priorities.

Design and deploy end-to-end machine learning solutions: gather/process large datasets, build predictive and topic-modeling systems, develop data pipelines, use AWS and NLP APIs, containerize and deploy models, lead technical teams, and manage project delivery and stakeholder communication.

Design, prototype, and operationalize ML models and data pipelines for temporal, geospatial, and track-based mission data. Build data processing, feature engineering, containerized cloud deployments (AWS/Docker/Kubernetes), APIs, and scalable evaluation/monitoring workflows while following Agile and software engineering best practices.

The Senior Machine Learning Engineer will lead the perception stack, focusing on detection, tracking, classification, and sensor fusion for targeting systems, with responsibilities including model development and real-time optimization on embedded devices.