Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Lead development stages for AI/ML projects from exploration to maintenance.
Design and implement scalable ML pipelines for large datasets with data scientists and network security experts.
Conduct experiments and analyze results using metrics and visualization techniques.
Corelight is a cybersecurity company that transforms network and cloud activity into evidence for elite defenders. Fueled by accelerating revenue and investments from top-tier venture capital organizations, they are rapidly expanding their team with a geographically dispersed yet connected employee base.
Conduct in-depth data analytics and build statistical data inference models of biological processes.
Aquabyte is working to revolutionize the sustainability and efficiency of aquaculture through underwater cameras, computer vision, and machine learning.
Draft detailed natural-language plans and code implementations for machine learning tasks. Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.
Mercor is building the talent engine that helps leading labs and research orgs move AI forward.
Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.
Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.
Conduct exploratory data analyses and develop machine learning models to identify risks.
Train and iterate on machine learning models using novel techniques.
Debug models when observability shows performance gaps, and iterate on models.
Patreon is a media and community platform allowing creators to give their biggest fans access to exclusive work and experiences and fund the creative class.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Understand complex business challenges and translate them into data science problems.
Design and implement machine learning models, statistical tests, and optimization strategies.
Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Design and implement ML models for behavior prediction, anomaly detection, and risk scoring. Develop and fine-tune transformer-based models. Partner with product and engineering to translate business problems into data science solutions.
Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization.
Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications.
Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets.