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
- Senior Software Engineer responsible for designing, building, and scaling AI/ML products at Galileo. Collaborating with cross-functional teams and ensuring engineering excellence in architecture and execution.
Responsibilities
- Champion for the right scalable, reliable architecture and obtain buy-in from all the stakeholders
- Work with your team to help plan the roadmap and execute it
- Uphold the engineering excellence/quality bar by reviewing your peer’s PRs
- Collaborate closely with Product Managers, designers and other TLs to ensure we are building the right strategy and leveraging each other’s work
- Participate in design reviews, on-call and support, participate in and present during Tech Talks and learning sessions & help interview other engineering candidates
Requirements
- 5+ years of experience building Data or AI/ML products
- Experience building APIs in Python (FastAPI preferred)
- Experience building large scale distributed systems
- Familiarity with Messaging and Pub-Sub systems such as RabbitMQ/Kafka
- Storage/database systems similar to Postgres, MongoDB, Cassandra, S3
- OLAP systems such as ClickHouse, Pinot
- Orchestration systems such as Celery
- Experience building test suites using frameworks such as PyTest/PyUnit
- High productivity and care to help teams collaborate more effectively and efficiently
- A startup mindset, biasing towards thoughtful action with minimal direction.
Benefits
- Medical, Dental and Vision Insurance
- Unlimited PTO
- Parental Leave (birthing & non-birthing) - 100% pay for 8 weeks
- 401(k) Retirement Savings Plan
- Pre-IPO Stock Options
- Commuter Benefits (pre-tax + company sponsored)
- Mental & Physical Wellness Stipend
- Catered Meals on in-office days
- HQ in Burlingame + hub in NYC + hub in Bangalore
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
Senior Platform/MLOps Engineer designing and maintaining scalable infrastructure for AI at Bright Machines. Join a team transforming manufacturing through intelligent automation.
CO
AI/ML Risk Guide enhancing risk management within Capital One's Tech and Product teams. Collaborating on risk solutions that impact customer experience and stability.
Staff Machine Learning Engineer developing content and creator classification systems for Patreon’s platform insights. Collaborating across teams to enhance discovery and recommendations for creators and fans.
Machine Learning Co - op working on sales and collection AI chatbot projects at Lendbuzz. Gaining experience with data annotation, cleaning, and multilingual model evaluation.
AI Prompt Senior Engineer developing and optimizing large language models for TIAA. Collaborating cross - functionally to create innovative AI solutions with a focus on data science.
Machine Learning Engineer transforming research - driven models into scalable systems. Join Shalion in an international team focused on e - commerce intelligence.
Team Lead Machine Learning overseeing production systems for sustainability analytics using satellite imagery and ML. Leading a technical team to drive innovative geospatial solutions.
Machine Learning Engineer leading churn prediction model development for Architech. Collaborating with teams to optimize customer retention strategies and utilizing advanced AI and data analysis.