Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
About the role
- Lead ML Engineer responsible for developing generative AI solutions at Caterpillar. Join a global team leveraging technology to build industry-leading digital solutions.
Responsibilities
- Model Development: Fine-tuning, implementing, developing, and optimizing models used in generative AI solutions
- Algorithm Research: Staying updated with the latest advancements in AI and machine learning algorithms and integrating them into the team's projects.
- Experimentation: Conducting experiments to test the performance of different models and approaches, and iterating based on the results.
- Research and Implementation: Agentic GenAI solution research and best approach to implement solutions
- Training and Mentorship: Providing guidance and mentorship to junior data scientists and other team members.
Requirements
- Experience with Python and Golang
- Experience with AWS services and tools
- Ability to evaluate generated content from Large-Language Models (LLM)
- Machine Learning
- Computer Vision
Benefits
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement
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