Edtech.com's Summary

Guild is hiring a Senior MLOps Engineer. The role involves designing and implementing platforms and tooling to enable efficient development, deployment, and scaling of machine learning models and AI agents. The engineer will collaborate with cross-functional teams and lead technical efforts to establish Guild's ML/AI platform with a focus on reliability, security, and performance.

Highlights

Design, implement, and maintain ML model and AI agent deployment and monitoring platforms.
Develop and optimize CI/CD pipelines for AI and machine learning workflows.
Collaborate with data scientists, software engineers, and product teams to streamline productionization of ML models.
Ensure scalable, secure infrastructure adhering to best practices for reliability and observability.
Provide leadership on model governance, versioning, testing, and validation best practices.
Mentor team members on MLOps standards and emerging technologies.
Experience with cloud platforms (AWS, Azure, GCP) and managed AI/ML services.
Proficiency with containerization and orchestration tools like Docker and Kubernetes.
Skilled in infrastructure-as-code (Terraform) and CI/CD tools (GitHub Actions, Jenkins).
Strong coding skills in Python and familiarity with ML lifecycle management tools like MLflow and Kubeflow.
Competitive compensation: base salary $144,000–$211,000 plus stock options, based on experience and competencies.
5–7 years' experience in MLOps, DevOps, or related software engineering fields.
Guild partners with major employers such as Walmart, Chipotle, Discover, and Disney to build workforce development programs.

Senior MLOps Engineer Full Description

At Guild, we believe talent is everywhere and that opportunity should be too. We continue to have our home and headquarters in Denver, but we have embraced a distributed model of working to reach the best talent in the United States. While some roles may require proximity to our Denver office, roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D.C. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. We typically keep job postings active for 3–5 weeks, though this may vary depending on applicant volume and other factors.

If you are an Internal Candidate, please apply via our Internal Job Board.

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To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here.

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Guild is hiring a Senior MLOps Engineer. As a Senior MLOps Engineer, you'll be pivotal in designing and implementing infrastructure and tooling that allows teams to efficiently develop, deploy, and iterate on machine learning models and AI agents. Your contributions will enable rapid innovation, consistent reliability, and effective scaling of Guild's AI capabilities. This is a role that will be pivotal in establishing Guild’s ML / AI platform.

As a Senior MLOps Engineer, responsibilities include:

Design, implement, and maintain platforms for seamless deployment, management, and monitoring of ML models and AI agents.
Develop and optimize CI/CD pipelines tailored specifically for AI and machine learning workflows.
Collaborate closely with data scientists, software engineers, and product teams to streamline ML model productionization.
Ensure infrastructure is scalable, secure, and adheres to best practices in reliability and observability.
Provide technical leadership in adopting best practices for model governance, versioning, testing, and validation.
Continuously improve platform performance, efficiency, and ease-of-use to accelerate development cycles.
Mentor team members on MLOps standards, practices, and emerging technologies.

You are a strong fit if you have:

5–7 years of experience in MLOps, DevOps, software engineering, or related fields.
Strong experience in building and maintaining scalable machine learning infrastructure and pipelines.
Expertise with cloud platforms (AWS, Azure, or GCP), particularly in managed AI/ML services.
Proficiency with containerization (Docker, Kubernetes) and orchestration tools.
Experience in MCP (model context protocol); any specific experience with Databricks MCP or AWS MCP is a plus
Experience in model deployment frameworks and serving infrastructure (TensorFlow Serving, TorchServe, FastAPI, etc.).
Skilled in infrastructure-as-code tools like Terraform and familiarity with CI/CD automation (GitHub Actions, Jenkins).
Deep understanding of ML lifecycle management, monitoring, version control, and experiment tracking tools (e.g., MLflow, Kubeflow, Weights & Biases).
Strong coding skills, especially in Python, and familiarity with software engineering best practices.
Knowledge of monitoring, logging, and alerting systems for ML models in production.

We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $144-211,000, and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.

At Guild, we unlock the talent and economic potential of America’s workforce for employees and their companies. We partner with the nation’s largest employers—including Walmart, Chipotle, Discover, Hilton, Macy’s, Target, and The Walt Disney Company—to create cultures of opportunity that help them attract and retain top talent, while building the workforce of the future from within. By using our proprietary Career Opportunity Platform to develop education and learning programs that work in the real-world, thousands of employees at those companies have gained the skills, knowledge, and guidance they need to build a brighter future for themselves and their families—all without paying for tuition or career services on their own.

Guild is female-founded and a certified B Corp. The company has been named to the TIME100 Most Influential Companies of 2022 list, CNBC Disruptor50 list three years in a row, Inc. Best Led Companies list, Fast Co. World Changing Ideas list and the B Lab Best for the World list among many others.

Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following benefits:

Access to low-cost, high-quality health care options through Cigna and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO)
Access to a 401k to help save for the future
Open vacation policy for employees to rest and recharge
8 days of fully-paid sick leave, to take the time to heal and or recover
Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 4-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits.
Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
Education benefits and tuition assistance to help your future development and growth

PRIVACY NOTICE

I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment.

I understand and agree to Guild's use of my information in accordance with Guild's Privacy Policy and, for applicants that are residents of the State of California, Guild's Applicant Privacy Notice and California Notice at Collection.

Original Job Description

If you are an Internal Candidate, please apply via our Internal Job Board.

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As a Senior MLOps Engineer, responsibilities include:

Design, implement, and maintain platforms for seamless deployment, management, and monitoring of ML models and AI agents.
Develop and optimize CI/CD pipelines tailored specifically for AI and machine learning workflows.
Collaborate closely with data scientists, software engineers, and product teams to streamline ML model productionization.
Ensure infrastructure is scalable, secure, and adheres to best practices in reliability and observability.
Provide technical leadership in adopting best practices for model governance, versioning, testing, and validation.
Continuously improve platform performance, efficiency, and ease-of-use to accelerate development cycles.
Mentor team members on MLOps standards, practices, and emerging technologies.

You are a strong fit if you have:

5–7 years of experience in MLOps, DevOps, software engineering, or related fields.
Strong experience in building and maintaining scalable machine learning infrastructure and pipelines.
Expertise with cloud platforms (AWS, Azure, or GCP), particularly in managed AI/ML services.
Proficiency with containerization (Docker, Kubernetes) and orchestration tools.
Experience in MCP (model context protocol); any specific experience with Databricks MCP or AWS MCP is a plus
Experience in model deployment frameworks and serving infrastructure (TensorFlow Serving, TorchServe, FastAPI, etc.).
Skilled in infrastructure-as-code tools like Terraform and familiarity with CI/CD automation (GitHub Actions, Jenkins).
Deep understanding of ML lifecycle management, monitoring, version control, and experiment tracking tools (e.g., MLflow, Kubeflow, Weights & Biases).
Strong coding skills, especially in Python, and familiarity with software engineering best practices.
Knowledge of monitoring, logging, and alerting systems for ML models in production.

Access to low-cost, high-quality health care options through Cigna and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO)
Access to a 401k to help save for the future
Open vacation policy for employees to rest and recharge
8 days of fully-paid sick leave, to take the time to heal and or recover
Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 4-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits.
Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
Education benefits and tuition assistance to help your future development and growth

PRIVACY NOTICE

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Senior MLOps Engineer

Edtech.com's Summary

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