OneSix
Where data and AI innovation meets practicality.
Senior Machine Learning Consultant
Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200Since 2013H1B No SponsorCompany SiteLinkedIn
Location
United States
Posted
170 days ago
Salary
Not specified
Postgraduate Degree6 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPythonPy TorchScikit Learn
Job 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
Job 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
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