OneSix

Senior Machine Learning Consultant

OneSix

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-Learn

About the role

  • 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
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