Job Description
Title : Software Engineer — MLOps Platform
Location : Brooklyn Park, MN | Hybrid – onsite Tuesday & Wednesday
Job Type : Contract (6 months)
Compensation : $131.00 - $169.00 per hour (W2)
Industry: Retail
Required Skills: GCP, MLOps, Java or Python
About the Role We are seeking a Contract Software Engineer to support a machine learning platform team within a major retail and consumer technology organization. In this role, you will help build the platform tools and cloud infrastructure that enable data scientists and machine learning engineers to develop, deploy, and operate production ML workflows. This is a hands-on, execution-focused position with an emphasis on cloud-native systems, MLOps patterns, and production operations. You will collaborate closely with platform engineers and data science partners to deliver scalable, secure, and observable ML enablement capabilities on Google Cloud Platform.
Job Description In this role, you will design, implement, and maintain platform services, SDKs, and tooling that support machine learning workflows and deployment patterns. You will build and operate cloud-native infrastructure and shared services on Google Cloud, develop APIs and backend services that standardize MLOps workflows, and translate architectural direction into actionable, scalable implementations. You will partner with data scientists and application engineers to establish consistent and supportable ML workflows, troubleshoot operational issues, and deliver durable, automated solutions.
Additional responsibilities include supporting the deployment and operation of reliable, cost-effective ML platform components; implementing monitoring, logging, and alerting across ML enablement tools and cloud resources; improving platform performance and reliability; maintaining documentation; and guiding users on effective platform utilization.
Qualifications Required - Bachelor’s degree or equivalent practical experience.
- Strong proficiency in Java, Python, or similar languages.
- Hands-on experience with Google Cloud Platform, including compute, storage, networking, Vertex AI, and IAM.
- Extensive professional software engineering experience focused on platform, infrastructure, or backend systems.
- Demonstrated experience with MLOps workflows.
- Extensive experience designing and implementing APIs and backend services.
- Strong experience with containerization and orchestration using Docker.
- Familiarity with CI/CD pipelines, automation, and Git-based workflows.
- Familiarity with Terraform and core networking concepts.
- Strong analytical and problem-solving skills with the ability to operate independently within a defined scope.
Preferred - Experience working with managed ML platforms such as Vertex AI.
- Familiarity with model deployment, monitoring, and lifecycle management patterns.
- Experience designing reusable infrastructure or self-service developer platforms.
- Familiarity with relational and NoSQL databases.
- Experience operating distributed systems in production environments.
Benefits Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary:
How to Apply Take the first step on your new career path!
To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with the next steps!
Equal Opportunity Statement As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
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