Remote Lead MLOps Engineer - Azure

Company Description We’re a ten-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. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you.

Job Description Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. 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.
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
Develop solutions in Python
Develop production-grade solutions
Work in Hadoop, Redshift, and Spark
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 10-15 years of experience as a machine learning (MLOps), data, and/or software engineer using Python in a production environment
Experience building, deploying, and optimizing machine learning models.
Strong experience with Azure ML and Databricks/MLflow.
Strong experience with Terraform and Kubernetes.
Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment.
Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment.
Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
Experience with GitHub.
Experience building data pipelines.
Preferred qualifications
Experience developing and deploying image models.
Masters degree/PhD in computer science or related field.
Consulting experience.

Additional Information At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $140,454 - $158,337 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.
All your information will be kept confidential according to EEO guidelines.
Learn more about life at Logic20/20!
Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career!

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 .

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.
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