Your Job
As the ML Ops Lead, you will play a critical role in bridging the gap between data science and production. You will be responsible for implementing and managing the infrastructure, processes, and tools necessary to deploy, monitor, and maintain machine learning models in a production environment. You will work closely with data scientists, engineers, and other stakeholders to ensure the seamless integration of machine learning solutions into our products and services.
What You Will Do
- Lead the deployment of machine learning models into production environments, ensuring they are scalable, reliable, and maintainable.
- Collaborate with the IT and DevOps teams to provision and manage the necessary infrastructure, including cloud resources, containers, and data pipelines, to support machine learning workloads.
- Develop and maintain automation scripts and tools for model deployment, monitoring, and retraining, with a focus on efficiency and reproducibility.
- Implement robust monitoring and alerting systems to track model performance, data drift, and anomalies, and take proactive steps to address issues as they arise.
- Ensure that machine learning models and data pipelines adhere to security and compliance standards, and work closely with security teams to address any vulnerabilities or risks.
- Collaborate with data scientists and engineers to understand model requirements, and work together to optimize models for deployment.
- Maintain clear and comprehensive documentation of ML Ops processes, procedures, and configurations.
- Stay up-to-date with industry best practices and emerging technologies in ML Ops, and proactively identify opportunities to enhance the ML Ops workflow.
- Mentor and guide junior ML Ops engineers and contribute to their skill development.
Who You Are (Basic Qualifications)
- Experience utilizing containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP).
- Experience with Software as a Service platforms to include SAS, C3.ai, and AWS Sagemaker
- Experience writing and maintaining Python to script and automate processes
- Experience using machine learning frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience deploying and managing ML models in production,
What Will Put You Ahead
- Experience apply ML models in a manufacturing environment
- Experience with DevOps practices and tools
- Experience deploying and managing ML models in production,
- Experience working with product and engineering teams to integrate ML features and services
- Experience with the AWS ML stack
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf