Senior Machine Learning Consultant

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September 24

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OneSix

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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.

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

📋 Description

• 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 • 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

🎯 Requirements

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field • 6+ years of hands-on AI/ML experience, with increasing leadership responsibilities • Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface) • Advanced programming skills in Python; experience with R and/or C++ is a nice to have • Deep understanding of machine learning algorithms, statistical modeling, and optimization techniques • Experience scoping and leading machine learning 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 • 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

🏖️ 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