Machine Learning Engineer
- Full-time
- Practice Area: Advanced Analytics
Company Description
We're a seven-time Best Company to Work For, where intelligent, talented people come together to do outstanding work - and have a lot of fun while they're at it. Because we're a full-service consulting firm with a diverse client base, you can count on a steady stream of opportunities to work with cutting-edge technologies on projects that make a real difference. Logic20/20's Global Delivery Model creates a connected experience for Logicians across geographies. You'll have access to projects in different locations, the technology to support Connected Teams, and in-person and online culture events in our Connected Hub cities.
Job Description
About the Team
The Logic20/20 Advanced Analytics team combines data engineering, data science, and visual analytics to mitigate risk, optimize operations, and automate processes for the ultimate user experience. Our lean-in learning culture is focused on building expertise and delivering high-value solutions with real business impact across industries, whether they are leveling up or blazing a trail.
“We build an environment where we really operate as One Team, building up each other’s careers and capabilities.” – Adam Cornille, Senior Director, Advanced Analytics
About You
Logic20/20 is seeking a Machine Learning Engineer who can support a team at one of the nation's top utilities companies on the west coast.
Hear more about these efforts as Jeff Lovington shares his experience working in Data Science and Machine Learning for the Energy & Utilities sector.
Qualifications
Must have:
- 5+ years of experience building and deploying machine learning models to production in a cloud environment
- 3+ years of hands-on Python experience
- Expert-level experience with Terraform and/or other infrastructure-as-code tools
- Strong experience with Sagemaker
- Ability to build CI/CD pipelines
- Knowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deployment
Preferred:
- Experience working in the Utilities industry
- Master's degree/PhD in computer science or related field
Additional Information
All your information will be kept confidential according to EEO guidelines.
Compensation range: $140,000 - $200,000, depending on experience
About Logic20/20
To learn more about Logic20/20, please visit: https://www.logic2020.com/careers/life-at-logic
Core Values
At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values.
Logic20/20 Benefits
Why Logic20/20? It’s our goal to be one of the best companies to work for. One piece of the puzzle is an evolving set of benefits that extend past medical, dental, and 401(k).
You will have
PTO & Paid Holidays – Worry-free time off to recharge and pursue your personal goals
Community & Committees – As part of our “Culture of We,” Logic20/20 invests in providing many social, interest, and learning opportunities
Referral Programs & Bonuses – Employee, project, and sales referral programs with paid incentives
Equal Opportunity Statement
We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
To learn more about our DE&I initiatives, please visit: https://www.logic2020.com/company/diversity-equity-inclusion
Privacy Policy
During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.