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Senior Machine Learning Ops Engineer Jobs in Pukwana, SD

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Senior Machine Learning Ops Engineer information

See Pukwana, SD salary details

$60.8K

$129.4K

$187.6K

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

As of Aug 18, 2026, the average yearly pay for senior machine learning ops engineer in Pukwana, SD is $129,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $146,700.00 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.

Senior Machine Learning Ops Engineer jobs near you

HVAC/R Service Technician - Light Commercial

CoolSys

Chamberlain, SD • On-site

$25 - $50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

CoolSys rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

63rd of 278 rated repair and maintenance companies

Job description

Overview
WHY COOLSYS?
At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with:
  • Competitive Compensation: $25-$50/HR. Up to $5,000 Sign On Bonus!
  • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training.
  • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match.
  • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing.
  • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more.

Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry!
Responsibilities
The HVAC/R Technician role is primarily responsible for performing repairs and maintenance to a variety of HVAC and Refrigeration equipment including air conditioning, electric motors, heating units, heat pumps, hermetic compressors, commercial furnaces, boilers, burners, intake and exhaust fans, economizers and humidifiers, RTUs, remote condensing units, ice machines, walk-in coolers & freezers, and upright refrigerators & freezers.
Qualifications
  • 3+ years of commercial experience as an HVAC and Refrigeration Technician
  • Active EPA Certification
  • Valid driver's license
  • Excellent customer relations and interpersonal skills
  • Mechanical aptitude and troubleshooting skills
  • Ability to safely lift to 50 lbs., climb and balance on a ladder, and work in elevated/high locations.

Join Us
Today, there are 26 different companies that make up the CoolSys family of brandsOur valued employees are at the heart of our continued growth and success. We invite you to be part of that growth!
Connect with us on Facebook and Twitter
Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply.
Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance.
Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems

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