Machine Learning Engineer
2 weeks ago
Job Title: Machine Learning Engineer
Department: Data Science and Machine Learning Team
Reports to: Director of Data Science
Location: Remote
Help us transform precision manufacturing
Acerta is on a mission to understand the digital thread of data for every vehicle. Our customers are global automakers and suppliers who make complex parts that power all kinds of vehicles.
We're currently focused on helping manufacturers make better parts more efficiently using machine learning and artificial intelligence (ML/AI). We've built a predictive quality analytics solution called LinePulse to help them make better day-to-day decisions. LinePulse arms them with actionable insights so they can proactively address quality issues before they impact production. Sometimes, our customers want help with problems in the vehicle instead of quality issues in their manufacturing plants. That's OK, too because we also use ML/AI to create unique solutions for specific on-road challenges.
As an integral part of the data science team at Acerta, you will productize, deploy, maintain, and monitor machine learning models running behind Acerta’s LinePulse and Professional Services
If you're ready to make a huge difference in the automotive and off-highway industries, come join our team.
Requirements:
• Minimum of 3 - 5 years of experience using python
• Experience with deploying DS solutions to production
• Experience with Docker, Kubernetes and Non-relational databases.
• Ability to work in a fast-paced agile environment
• Experience using Git in a team environment
• Flexibility to adjust to changing priorities, requirements, and schedules
• Familiarity with working on remote linux instances
Responsibilities:
• Own significant product requirements and drive them from development to deployment
• Tune and monitor machine learning models deployed for customers.
• Research and apply state of the art in model interpretation and explainability
• Package development in Acerta’s Codebase
Key Competencies:
• Ability to work in a fast-paced agile environment
• Action-oriented
• Collaborative
• Customer-focused
• Detail-oriented
• Excellent analytical skills
• Experience with time-series and operations data
• Flexibility to adjust to changing priorities, requirements, and schedules
• Influence without authority
• Innovative
• Pragmatic
• Problem solver
• Process minded
• Resourceful
• Strong oral and written communication
• Team player
We're committed to a diverse and inclusive workplace and strongly encourage applicants from all backgrounds and walks of life. Come join us.
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