ML Ops Engineer

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.
** Essential Duties & Functions*
* ** Experience, Qualifications, Knowledge and Skills*
* • 2–5 years of experience in ML Ops, ML Engineering, or a related role with a focus on production-level model monitoring, automation, and deployment.  
• Strong experience with ML observability tools or custom-built monitoring systems.  
• Experience with monitoring LLMs and Generative AI models, including prompt evaluation, hallucination tracking, and agent behavior auditing.  
• Experience in deploying and managing ML workloads using containerization and orchestration platforms such as Docker, Kubernetes, Kubeflow, or Tensor Flow Extended.  
• Familiarity with AutoML pipelines and workflow management tools (e.g., MLflow, Sage Maker Autopilot).
• Experience working in cloud environments, preferably AWS (e.g., Sage Maker, S3, Lambda, ECS/EKS).  
• Proficiency in Python and key data libraries (Pandas, Numpy, Matplotlib, etc.).
• Advanced SQL skills and experience with Snowflake or similar data warehousing platforms.  
• Proficiency with version control (Git) and agile development methodologies.
• Strong collaboration and communication skills, with the ability to explain technical issues to both technical and non-technical stakeholders.  
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field—or equivalent industry experience.
• Domain experience in healthcare data (claims, payments) is preferred.  
● While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands; reach with hands and arms; think; and talk or hear (multi-channel, two way communication during work hours is required).  
*** Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future.
***** Location and Workplace Flexibility
** We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture, and all our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies.

Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

Zelis maintains a transparent, fee-free recruitment process. All genuine offers originate from our Talent Acquisition team using the “” domain. We do not use Whats App or personal emails for recruitment. Forward any suspected fraud to  for prompt investigation. Thank you for staying vigilant.
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