Machine Learning Engineer - MLOps

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 - $230,000

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 yo