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Senior Machine Learning Ops Engineer Jobs in Elk Point, SD

Senior Design Engineer

Vermillion, SD · On-site

$70K - $90K/yr

Senior Design Engineer The Senior Design Engineer will work closely with the multifunctional teams ... industrial, and special machines. Our work includes concept development, product design ...

The Senior Design Engineer will work closely with the multifunctional teams including sales ... industrial, and special machines. Our work includes concept development, product design ...

Sr. Design Engineer

Sioux City, IA · On-site

$85K - $95K/yr

POSITION: Sr. Design Engineer COMPANY PROFILE: Our client custom designs and builds specialized ... The work alongside their customers to design the machinery that specifically fits their needs. No ...

Process Engineer - Wet Manufacturing Operations LOCATION: South Sioux City, NE R EPORTS TO ... Career Growth - Learning, training, and development opportunities, including tuition reimbursement.

... → Senior Project Manager → Project Executive Growth is driven by: * Consistent project ... Continuous Improvement - Ongoing learning and development * Integrity - Honesty and accountability ...

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Senior Machine Learning Ops Engineer information

See Elk Point, SD salary details

$58.5K

$124.4K

$180.4K

How much do senior machine learning ops engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior machine learning ops engineer in Elk Point, SD is $124,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $141,100.00 per year, depending on experience, location, and employer.

What is a senior machine learning ops engineer?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.

What are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by senior machine learning ops engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

Infographic showing various Senior Machine Learning Ops Engineer job openings in Elk Point, SD as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $124,401 per year, or $59.8 per hour.

Senior Design Engineer

Vermillion, SD • On-site

RFA Engineering
Engineering Professional Services • 201 - 500 employees

$70K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our clients with timely engineering support and expertise. We are seeking a growth-oriented candidate to become an integral part of our engineering team. The selected candidate will work with an experienced engineering staff using state-of-the-art engineering tools & processes. This position will operate onsite at our customer's world-class engineering and manufacturing facility.
This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.
Senior Design Engineer
The Senior Design Engineer will work closely with the multifunctional teams including sales, operations, product support, purchasing and production. You will develop ground up design solutions for new and existing products. You will engage heavily with manufacturing and other engineering teams in the development of construction and mining equipment.
Responsibilities
  • Develop innovative products from concept to a manufacturable product while assuring design intent and integrity is maintained.
  • Design custom equipment that meets all technical requirements of assigned projects including new products, product enhancements, and cost reductions.
  • Perform analysis or calculations on project designs to achieve desired safety factors.
  • Applicable knowledge of Design for Manufacturing and Design for Assembly Principles as well as material optimization.
  • Initiate and implement design related cost reductions and quality improvement ideas.
  • Provide project management and follow through on assigned projects.
  • Develop and maintain design documentation including 2-D drawings, 3-D CAD designs and project specifications.
  • Organize and maintain BOM's for all assigned projects.
  • Collaborate with and Support internal departments with technical information.
  • Work collectively with Purchasing to obtain components and materials for projects.
  • Assist Manufacturing after projects are released and on design updates as required.
  • Make necessary field trips to assist with Product Support, Engineering and Sales.
  • Provide senior leadership, training, and mentoring to lower-level engineers.
  • Complete assignments on time as scheduled by Engineering.

Requirements
  • BS in Mechanical Engineering, Agriculture, Industrial Engineering or related Engineering Discipline
  • 5+ years of 2D and 3D modeling experience (AutoCAD and Inventor preferred)
  • Prior experience with FEA (Finite Element Analysis), both simulation software and hand calculations
  • Demonstrated experience with GD&T (Geometric Dimensioning and Tolerancing)
  • Strong analytical, problem solving and troubleshooting skills
  • Must have a valid Driver's License

Desired Attributes
  • Experience with manufacturing processes including welding, fabrication, or assembly of heavy structural steel
  • Desire to work in an engineering environment focusing on robust & cost-effective designs
  • Experience with product design, preferably off-road equipment.

Visa sponsorship is NOT available for this position.
Pay Range: $70,000-$90,000/yr - Commensurate with experience
About RFA Engineering
RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

Equal Opportunity and Veteran Friendly
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.