Senior MLOps Engineer

DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world.  We help people make critical business decisions that impact the agriculture, oil and gas, trading, and weather industries.

It’s a difference you’ve likely felt without even knowing it. From the food on your plate to the gas in your car to the last flight you took, chances are a DTN customer made it possible. And that’s just for starters. That’s why we say, “When our customers prosper, we all win.”

Job Description:

We have an exciting opportunity within our DevOps team at DTN! We are seeking a Senior MLOps Engineer, where you'll be pivotal in developing, implementing, and maintaining infrastructure that enables efficient machine learning model lifecycle management. You'll boost the productivity of data scientists at DTN by ensuring that our ML systems are scalable, reliable, and optimized across their lifecycle, collaborating with software engineers, Data Engineers, and DevOps specialists.
 

Responsibilities

• MLOps Infrastructure: Design and implement scalable, automated infrastructure using cloud services and container technologies.

• Deployment Pipelines: Establish robust infrastructure to support complete ML deployment pipelines including CI/CD, versioning, testing, and monitoring.

• Collaboration: Ensure ML models are production-ready by resolving performance, scalability, reliability, and security issues alongside data scientists and software engineers.

• Monitoring and Alerting: Set up real-time monitoring systems to detect anomalies and manage infrastructure performance proactively.

• Model Governance: Develop tools and processes for model versioning and compliance with data governance standards.

• Infrastructure Optimization: Continually enhance ML infrastructure to increase efficiency, reduce costs, and improve development and deployment agility.

• Troubleshooting: Quickly address and resolve issues that impact data scientists' productivity in model development.

Qualifications

• Experience: Several years in software engineering, DevOps, or MLOps, with a focus on ML infrastructure.

• Technical Skills:

  • Expertise in container orchestration (e.g., Kubernetes, Helm).

  • Proficiency in deploying ML-supportive open-source software (e.g., Metaflow, MLFlow).

  • Solid knowledge of AWS and Linux-based systems.

  • Skilled in CI/CD pipelines, version control (Git), and automation (GitLab runners).

  • Strong scripting abilities in Python and Bash.

  • Experienced with infrastructure as code (e.g., Terraform) and monitoring tools (e.g., Prometheus, Datadog).

• Soft Skills: Excellent problem-solving, self-management, and communication skills.

Core Values:

Bold - you cultivate innovation by experimenting and adapting, learning from failures and pushing boundaries; you are open to change and grant others the space to do the same.

Passionate - you yearn to make customers successful; you bring an infectious energy and zeal to everything you do.

Selfless - you leave your ego at the door and believe if customers succeed, we all succeed; your influence is earned through outcomes, not your title.

Outcome-oriented - you are biased towards results, setting high standards for yourself and others; you focus on outcomes over process; you prefer to demonstrate vs talk about it.

Autonomous - you create clarity, optimism and opportunity in the face of ambiguity and setbacks; you don’t need everything spelled out for you; you act decisively and courageously, solving problems through others by seeking input, not consensus.

Multi-faceted - you pride yourself in being skilled in multiple disciplines and your propensity to grow and learn new ones; you connect the dots and move beyond the obvious to drive growth.

Candor - you are open and honest in your quest to create value for customers; you share difficult or unpopular messages in a motivating way, and let people know where they stand honestly and sensitively.

What You Can Expect from DTN:

• Competitive Salary

• Unlimited PTO

• Flexible working hours

• Remote work model 

• Competitive Medical, Dental, and Vision Insurance Plans

• 6% 401K matching

• Unlimited access to 13k+ courses via a learning platform to support employee career advancement

• Employee Assistance Program (EAP)

The targeted hiring base pay range for this position is between $101,250 and $135,000 . DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.

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Why DTN?

OUR VISION: To be the independent, trusted source of insights to our customers who feed, protect, and fuel the world. 

OUR MISSION: Empower our customers with intelligent and actionable insights that exceed their expectations and enable their success on a daily basis. 

OUR VALUES: Customer-Focused, Forward-Thinking, People-Centric, Solution-Oriented

We have great benefits at DTN – apply today to find out more! 

At DTN, we are an equal opportunity employer. Come join us as we help feed, fuel, and protect the world!

** DTN is an Equal Opportunity Employer Minorities/Women/Veterans/Disabled