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AI/ML DevOps Engineer Atlanta, GA (hybrid 4 days onsite) 1 year contract to hire $60-75/hr W2 only – sorry no C2C or ...

Fulltime Ai Machine Learning Mlops

$124k - $156k · Senior Fully remote

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TITLE: AI/ML Engineer LOCATION: Midtown Atlanta, GA (4 days per week onsite) ANTICIPATED DURATION: 12+ Month W2 Contr...

Contract Ai Machine Learning Data Science

$401k* · Senior Fully remote

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AI ML DevOps Engineer

Synergis Atlanta, GA

Live

$124k - $156k · Senior Full-time Posted 25 days ago 4 min read

AI/ML DevOps Engineer

Atlanta, GA (hybrid 4 days onsite)

1 year contract to hire

$60-75/hr W2 only – sorry no C2C or 3rd party vendor referrals

Position Overview

We are seeking a seasoned AI/ML DevOps Engineer to lead the design, automation, and support of cloud-native infrastructure and pipelines for enterprise-scale AI/ML initiatives. This role will be instrumental in enabling scalable, secure, and reusable AI products across operating companies, with a strong emphasis on Azure and CI/CD automation. Experience with Databricks is a plus, particularly for ingestion and model deployment workflows.

Key Responsibilities

Cloud Infrastructure & Automation

Architect and manage scalable, secure infrastructure for AI/ML workloads in Azure
Design and implement automated CI/CD pipelines for model training, deployment, and monitoring
Leverage Infrastructure as Code (IaC) tools (e.g., Bicep) to ensure repeatable and compliant environments
Ensure high availability, fault tolerance, and cost optimization across cloud environments

MLOps Framework & Lifecycle Management

Own and evolve the enterprise MLOps framework , including lifecycle governance and operational standards
Define and enforce best practices for model deployment, monitoring, and retraining
Implement observability tools for model performance, data drift, and alerting

Reusable AI Product Enablement

Collaborate with cross-functional teams to design and deliver reusable AI components and services
Support lifecycle management of AI products across business units
Develop shared templates, APIs, and deployment patterns to accelerate adoption

Security, Compliance & Collaboration

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

Qualifications

Required

Education : Bachelor’s or Master’s in Computer Science, Engineering, or related field
Experience :
5+ years in cloud engineering or DevOps
2+ years in MLOps , AI infrastructure, or ML engineering
Technical Skills :
Deep expertise in Azure , including ML services and DevOps tooling
Strong Python skills; familiarity with ML frameworks (e.g., PyTorch, scikit-learn)
Experience with MLflow or similar lifecycle tools
Familiarity with Databricks , Apache Spark, and scalable data pipelines
Proficiency in SQL and understanding of relational/NoSQL databases

Preferred

Certifications in Azure, AI/ML, or data engineering
Experience in the energy sector or multi-business environments
Familiarity with Microsoft Power Apps for operational workflows
Experience designing reusable AI services or low-code interfaces
Agile project management experience

The compensation range for this position is $60 to $75/hr W2

(dependent on factors including but not limited to client requirements, experience, statutory considerations, and location).

*Note: Disclosure as required by the Equal Pay for Equal Work Act (CO), NYC Pay Transparency Law, and sb5761 (WA)

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.

For 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.

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.

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 ww.synergishr.com

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