ML Engineer
Seattle, WA, United States
Applications have closed
Logic20/20 Inc.
Logic20/20 is a business and technology consulting firm. We elevate client performance using strategy, technology, and data.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
Logic20/20 is seeking a Machine Learning Engineer with MLOps experience to lead and support a team that is working on advancing machine learning models and setting up an MLOps infrastructure. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.
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
What you'll do:
Create frameworks to predict a variety of outcomes in different scenarios
Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
Collaborate with other data scientists and stakeholders on projects
Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making
Develop production grade solutions
Translate business and product questions into analytics projects
Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights
Qualifications
- 5+ years experience building ML pipelines in a high-impact role
3+ years AWS experience
Strong experience with Terraform and/or Sagemaker
Expert understanding of MLOps infrastructure and Machine Learning model development lifecycle
Knowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deployment
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: $150,000 - $220,000
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
Career Development – A built-in program from day 1, providing a mentor and individually-directed training opportunities, plus access to leaders across the company
PTO, Paid Holidays, & Voluntary Leave – 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
Recognition – From peer recognition, swag, and the chance to win a once-in-a-lifetime type of award, we make your Logic20/20 journey stand out
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.
Tags: Architecture AWS Computer Science Consulting Consulting firm Engineering Machine Learning ML models MLOps PhD Pipelines Privacy Research SageMaker Statistics Terraform Testing
Perks/benefits: Career development Equity Medical leave Team events
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