MLOps Platform Engineer

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems – and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

Build the coolest tech for the world’s leading brands

Solve complex problems – and learn new skills

Experience the power of transforming digital engineering for Fortune 500 clients

Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Job Title: MLOps Platform Engineer

Role Overview:

The Data Modeling Analytics & AI Engineering team is seeking an experienced Machine Learning Ops Platform Engineer to design, build, and support enterprise-grade machine learning operations capabilities. This role will play a key part in enabling scalable, reliable, and secure Machine Learning model development and deployment across our cloud and container platforms.

This is a hands-on engineering role requiring strong expertise in AWS, Kubernetes (EKS), CI/CD automation, containerization, and Machine Learning platform operations. The ideal candidate will have solid engineering fundamentals combined with practical knowledge of Machine Learning workflows, deployment patterns, and platform reliability.

Responsibilities:

• Engineer, manage, and support Machine Learning Ops platform components across AWS and EKS-based environments.
• Oversee deployment, configuration, and operation of infrastructure used for Machine Learning training, batch inference, and real-time model serving.
• Ensure platform availability, resilience, and performance across dev, test, and production environments.
• Implement role-based access controls (RBAC), network policies, and scalable namespace designs within EKS.
• Build and support CI/CD pipelines (GitLab) for model packaging, container image builds, vulnerability scanning, and automated deployment flows.
• Enable standardized model release processes including environment promotion, versioning, and rollback workflows.
• Integrate CI/CD with Machine Learning frameworks, model repositories, artifacts, and runtime environments.
• Design and manage EKS workloads supporting containerized Machine Learning jobs and microservices.
• Implement auto-scaling, resource quotas, cluster optimization, and multi-tenant workload isolation.
• Support GPU and CPU-based training/inference workloads.
• Implement logging, monitoring, and alerting for Machine Learning pipelines, model endpoints, batch jobs, and platform components.
• Analyze compute, storage, and data transfer usage to optimize cost efficiency across Machine Learning workloads.
• Perform incident response, root cause analysis, and long-term remediation planning.
• Partner with Data Scientists, Machine Learning Engineers, and application teams to operationalize end-to-end machine learning solutions.
• Provide technical guidance on best practices for Machine Learning model lifecycle management, deployment patterns, and scalable architectures.
• Contribute to documentation, runbooks, onboarding materials, and internal knowledge bases.

Required Qualifications:

• 3+ years of hands-on experience with AWS services, including EKS, EC2, S3, IAM, CloudWatch, and ECR.
• Strong experience operating and troubleshooting Kubernetes (preferably AWS EKS).
• Proficiency in containerization (Docker) and orchestration concepts.
• Strong programming/scripting experience in Python and Bash.
• Experience building and managing CI/CD pipelines (GitLab or equivalent).
• Familiarity with machine learning workflows, including training, inference, and model monitoring.
• Experience with infrastructure-as-code (Terraform or CloudFormation).
• Experience supporting production platforms, including incident management and root cause analysis.

Preferred Qualifications:

• Experience managing Data Analytics Platforms / Tools (e.g., Domino, SageMaker)
• Experience with Machine Learning lifecycle tools such as Machine Learning flow, or similar.
• Experience supporting GPU-based workloads or distributed training environments.
• Familiarity with enterprise Machine Learning Ops architectures and patterns (batch, real-time, microservices).
Understanding of data processing frameworks and feature pipelines.

Salary and Other Compensation: The annual [salary/hourly rate] for this position is between [$120,000–130,000 annually]/[$60.00-65.00 per hour]. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.

Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.