
51 - 200 employees
Founded 2013
🤖 Artificial Intelligence
Artificial Intelligence • Data & Analytics • Healthcare & Life Sciences
OneSix is a company that harnesses the power of data and AI to drive practical business outcomes across various sectors. With expertise in Data & AI Strategy, Data Engineering, Data Analytics, and AI & Machine Learning, they provide end-to-end solutions tailored to meet the unique challenges in industries such as Financial Services and Healthcare. Their skilled team of Data Engineers, Data Scientists, and AI/ML Engineers work closely with clients to unlock data potential and enhance operational efficiency.
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51 - 200 employees
Founded 2013
🤖 Artificial Intelligence
Artificial Intelligence • Data & Analytics • Healthcare & Life Sciences
OneSix is a company that harnesses the power of data and AI to drive practical business outcomes across various sectors. With expertise in Data & AI Strategy, Data Engineering, Data Analytics, and AI & Machine Learning, they provide end-to-end solutions tailored to meet the unique challenges in industries such as Financial Services and Healthcare. Their skilled team of Data Engineers, Data Scientists, and AI/ML Engineers work closely with clients to unlock data potential and enhance operational efficiency.
• Research, design, and build ML models across a range of use cases • Work across the full deployment spectrum: managed cloud ML platforms and containerized solutions built in Python • Collaborate with engineers to integrate models into production environments and uphold MLOps best practices • Preprocess and analyze large datasets; think critically about data quality and what it means for model reliability • Contribute to technical discussions across the team, fostering a culture of shared learning and continuous improvement • Translate complex ML concepts clearly for both technical collaborators and non-technical client stakeholders
• 4+ years of hands-on ML experience with a track record of shipping models to production • Strong suit in at least one area — predictive/classical ML, computer vision, or LLM/agentic systems • Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus • Comfortable across the full deployment stack: managed cloud services and containerized solutions built from scratch (Docker, EC2-style environments) • Deep understanding of ML algorithms, statistical modeling, and optimization • M.S. in a quantitative field, or equivalent depth demonstrated through shipped work • Clear communicator who can explain their methodology and defend their choices • Must be based in the US or Canada.
• Competitive compensation • Company-paid medical, vision, dental, and wellness benefits for employees • Company-provided home office equipment • Flexible vacation and sick days • Team-oriented and supportive working environment • Company-sponsored events and swag
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