Top Machine Learning Jobs

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 will design, implement, and optimize machine learning solutions while providing technical leadership and mentoring to junior staff. Responsibilities include managing large datasets, developing data-driven solutions, and collaborating with clients to align ML systems with business needs.

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

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.

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.

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

Design and implement AI-powered solutions for document extraction and financial reasoning, focusing on ML pipelines and application of LLMs.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.