OneSix
Overview
Senior Machine Learning Consultant at OneSix. OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. The team includes Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers who integrate with client teams to solve challenging business problems. The company partners with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, leveraging modern technology and scalable architectures. OneSix has grown through strategic acquisitions to provide strong enterprise capabilities. OneSix provides equal employment opportunities and prohibits discrimination and harassment of any type. We welcome applicants regardless of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by law. Job Description and Responsibilities
The Senior Machine Learning Consultant works collaboratively to design and develop machine-learning solutions for clients. This role leads project teams, shapes project scopes, and works directly with clients to iterate on solutions. While not a direct people manager, the Senior ML Consultant serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. Responsibilities include bringing together state-of-the-art solutions to solve clients\' problems. Conduct research and development on AI/ML models to solve complex technical challenges. Design, train, and optimize machine learning models for performance, scalability, and efficiency. Experiment with state-of-the-art AI techniques, such as deep learning, reinforcement learning, and generative models. Work closely with engineers and scientists to integrate models into production environments. Analyze and preprocess large datasets to improve model accuracy and robustness. Stay updated with advancements in AI and ML and apply new findings to ongoing projects. Ensure AI models adhere to ethical AI practices, fairness, and interpretability principles. Contribute to technical documentation and research publications when applicable. Strong problem-solving skills and analytical thinking. Ability to work independently and collaborate with cross-functional teams. Effective communication skills for presenting technical concepts and findings. Act as a technical lead by guiding and mentoring team members, providing feedback, and fostering collaboration. Help shape project scopes, drive technical discussions, and ensure alignment with business goals. Qualifications
Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum 6+ years of hands-on AI/ML experience, with increasing leadership responsibilities. Technical Skills
Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface). Advanced programming skills in Python; experience with R and/or C++ is a plus. Deep understanding of machine learning algorithms, statistical modeling, and optimization techniques. Experience scoping and leading ML projects from scoping/design through deployment/monitoring. Experience deploying ML models in production environments. Experience with cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps practices/tools. Leadership & Soft Skills
Strong mentorship abilities and a passion for helping others grow. Ability to influence technical strategy without direct managerial authority. Effective communication skills to present complex ML concepts to diverse audiences. Problem-solving mindset and ability to work cross-functionally with different teams. Compensation / Benefits
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 Other
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting
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Senior Machine Learning Consultant at OneSix. OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. The team includes Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers who integrate with client teams to solve challenging business problems. The company partners with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, leveraging modern technology and scalable architectures. OneSix has grown through strategic acquisitions to provide strong enterprise capabilities. OneSix provides equal employment opportunities and prohibits discrimination and harassment of any type. We welcome applicants regardless of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by law. Job Description and Responsibilities
The Senior Machine Learning Consultant works collaboratively to design and develop machine-learning solutions for clients. This role leads project teams, shapes project scopes, and works directly with clients to iterate on solutions. While not a direct people manager, the Senior ML Consultant serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. Responsibilities include bringing together state-of-the-art solutions to solve clients\' problems. Conduct research and development on AI/ML models to solve complex technical challenges. Design, train, and optimize machine learning models for performance, scalability, and efficiency. Experiment with state-of-the-art AI techniques, such as deep learning, reinforcement learning, and generative models. Work closely with engineers and scientists to integrate models into production environments. Analyze and preprocess large datasets to improve model accuracy and robustness. Stay updated with advancements in AI and ML and apply new findings to ongoing projects. Ensure AI models adhere to ethical AI practices, fairness, and interpretability principles. Contribute to technical documentation and research publications when applicable. Strong problem-solving skills and analytical thinking. Ability to work independently and collaborate with cross-functional teams. Effective communication skills for presenting technical concepts and findings. Act as a technical lead by guiding and mentoring team members, providing feedback, and fostering collaboration. Help shape project scopes, drive technical discussions, and ensure alignment with business goals. Qualifications
Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum 6+ years of hands-on AI/ML experience, with increasing leadership responsibilities. Technical Skills
Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface). Advanced programming skills in Python; experience with R and/or C++ is a plus. Deep understanding of machine learning algorithms, statistical modeling, and optimization techniques. Experience scoping and leading ML projects from scoping/design through deployment/monitoring. Experience deploying ML models in production environments. Experience with cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps practices/tools. Leadership & Soft Skills
Strong mentorship abilities and a passion for helping others grow. Ability to influence technical strategy without direct managerial authority. Effective communication skills to present complex ML concepts to diverse audiences. Problem-solving mindset and ability to work cross-functionally with different teams. Compensation / Benefits
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 Other
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting
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