AI/ML Ops Engineer

Job ID: 35966
Date Added: 11/12/2025
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TITLE: AI/ML Ops Engineer

LOCATION: Atlanta, GA or Birmingham, AL (Hybrid)
Direct Hire – Base salary, bonus, pension, 401K match and more!
 

Responsibilities:

  • Lead the development and stewardship of the enterprise-wide MLOps framework, including lifecycle management, governance, and operational standards (Azure and Databricks).
  • Define and enforce best practices for model deployment, monitoring, and retraining across business units.
  • Establish enterprise-wide observability for AI/ML models, including performance tracking, data drift detection, and alerting.
  • Build and manage scalable, secure cloud-native infrastructure (Azure) for AI/ML workloads.
  • Automate deployment pipelines using CI/CD tools and Infrastructure as Code (IaC).
  • Ensure high availability, fault tolerance, and compliance across environments.
  • Collaborate with cross-operating company teams to design reusable AI components and services.
  • Support delivery and lifecycle management of AI products across operating companies.
  • Develop shared templates, APIs, and deployment patterns to accelerate adoption.
  • Implement enterprise-grade security and compliance controls for AI/ML systems.
  • Partner with data engineering, DevOps, and business stakeholders to align infrastructure with strategic goals.
  • Provide technical leadership and mentorship to teams adopting MLOps practices.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
  • Proven experience (5+ years) in cloud engineering or DevOps with 2+ years in MLOps or AI infrastructure, Data Engineering, ML Engineering, or similar role.
  • Deep expertise in Python.
  • Experience with machine learning frameworks and libraries like PyTorch, or scikit-learn.
  • Experience with ML lifecycle tools like MLflow.
  • Experience with cloud computing services (Azure preferred) and their machine learning tools.
  • Familiarity with big data processing tools such as Databricks, Apache Spark, and Kafka.
  • Familiarity with data integration and scalable pipeline design.
  • Experience with SQL and understanding of relational and NoSQL databases.
  • Excellent problem-solving skills and the ability to analyze complex data sets.
  • Strong verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

Preferred Experience:

  • Relevant certifications in AI, ML, or data engineering.
  • Experience in the energy sector is a plus.
  • Experience building low-code solutions using Microsoft Power Apps, especially for operational workflows or AI product interfaces.
  • Experience designing reusable AI products or services in a multi-business environment.
  • Experience with Agile methodologies and project management tools.

The compensation range for this position is competitive and includes a base salary, 15% bonus (averaging 150% payout over 25 years, 5.5% pension plan, 401K match 85% up to 6% and other excellent benefits!  (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits.

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For immediate consideration, please forward your resume to DWicks@synergishr.com.

If you require assistance or an accommodation in the application or employment process, please contact us at DWicks@synergishr.com.

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at www.synergishr.com.