Top Remote Machine Learning Jobs in Hartford, CT

The Senior/Staff ML Engineer will lead AI/ML projects, focusing on LLMs, design scalable systems, mentor team members, and stay abreast of AI advancements.

Lead development of machine learning models to identify cryptocurrency fraud patterns. Collaborate with engineers and visualize data for law enforcement agencies.

Lead the development and deployment of scalable machine learning models for fintech applications, collaborating with various teams to meet business objectives.

The Machine Learning Engineer will build and scale ML models, collaborate with cross-functional teams, and improve real-time recommendations for Stitch Fix's clients.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

The Senior ML Engineer will design and deploy large-scale ML systems for personalized recommendations, directly impacting user engagement and revenue. Responsibilities include building models serving 100M+ predictions daily and optimizing data processing pipelines.

The AI/ML Engineer will develop and optimize AI models for US government clients, ensuring security and compliance with federal standards, while leading cloud and on-premises deployments.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.

The role involves leading ML/AI solutions, managing technical roadmaps, collaborating with stakeholders, and driving innovation in products and services.

The Research Engineer will develop online mapping algorithms, collaborate on datasets, and contribute to ML solutions for autonomous vehicles.