Senior MLOps Engineer

We're a nine-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 that are 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 R or 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

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

Qualifications

• 5-10 years of experience in a data science or machine learning (MLOps) role using Python.
• Proficiency in ML Frameworks (TensorFlow or PyTorch).
• Experience with AWS Sagemaker (S3, Lambda, Glue) and/or Snowflake and Palantir Foundry.
• Experience creating reproducible environments for data processing and model deployment using Docker and Kubernetes.
• Experience with Terraform.
• Proficiency with software engineering best practices: version control, testing, and CI/CD

automation (e.g., GitHub, Jenkins).
- Experience implementing model versioning, deployment, monitoring, and observability

systems.

Preferred qualifications

• Experience with Remote Sensing data and geospatial technologies.
• Experience with deep learning at scale with geospatial remote sensing data.
• Ability to manage the end-to-end ML lifecycle across platforms (e.g., Palantir Foundry and AWS

SageMaker.
- Master's degree/PhD in computer science or related field.

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 $144,134 - $162,067 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

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