Cloud MLOps Engineer

Robotics Prcocess Automation, LLC; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Equal opportunity employer

Inclusive workplace environment

Job summary

Robotics Process Automation, LLC in Dallas, Texas is looking for an experienced MLOps engineer. The role involves designing and automating ML pipelines on AWS, collaborating with teams to operationalize models, and managing infrastructure effectively.

The ideal candidate has a minimum of 10 years total experience, with a proven track record in MLOps or related DevOps roles emphasizing strong Python and cloud expertise. Competitive compensation and benefits are included.

Qualifications

• 10+ years of overall experience with 4+ years in MLOps or related roles.
• Hands-on experience with AWS services like SageMaker, S3, ECS, and EKS.
• Strong coding proficiency in Python and experience with automation tools.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models.
• Collaborate with data scientists to deploy and optimize models.
• Manage cloud infrastructure on AWS for MLOps.

Skills

MLOps experience

Cloud expertise (AWS)

Python proficiency

Docker containerization

Automation tools (Terraform, GitHub Actions)

Communication skills

Tools

SageMaker

Terraform

MLflow

Docker

Airflow

Job description

• Build & Automate ML Pipelines:Design, implement, and maintain CI/CD pipelines for machine learning models, ensuring automated data ingestion, model training, testing, versioning, and deployment.
• Operationalize Models:Collaborate closely with data scientists to containerize, optimize, and deploy their models to production, focusing on reproducibility, scalability, and performance.
• Infrastructure Management:Design and manage the underlying cloud infrastructure (AWS) that powers our MLOps platform, leveraging Infrastructure-as-Code (IaC) tools to ensure consistency and cost optimization.
• Monitoring & Observability:Implement comprehensive monitoring, alerting, and logging solutions to track model performance, data integrity, and pipeline health in real-time. Proactively address issues like model or data drift.
• Governance & Security:Establish and enforce best practices for model and data versioning, auditability, security, and access control across the entire machine learning lifecycle.
• Tooling & Frameworks:Develop and maintain reusable tools and frameworks to accelerate the ML development process and empower data science teams.

Required Qualifications

• Experience:Overall 10+ years of experience with 4+ years of experience in MLOps, Machine Learning Engineering, or a related DevOps role with a focus on ML workflows.
• Cloud Expertise:Extensive hands‑on experience in designing and implementing MLOps solutions on AWS. Proficient with core services like SageMaker, S3, ECS, EKS, Lambda, SQS, SNS, and IAM.
• Coding & Automation:Strong coding proficiency in Python. Extensive experience with automation tools, including Terraform for IaC and GitHub Actions.
• MLOps & DevOps: A solid understanding of MLOps and DevOps principles. Hands-on experience with MLOps frameworks like Sagemaker Pipelines, Model Registry, Weights and Bias, MLflow or Kubeflow and orchestration tools like Airflow or Argo Workflows.
• Containerization:Expertise in developing and deploying containerized applications using Docker and orchestrating them with ECS and EKS.
• Model Lifecycle:Experience with model testing, validation, and performance monitoring. Good understanding of ML frameworks like PyTorch or TensorFlow is required to effectively collaborate with data scientists.
• Communication:Excellent communication and documentation skills, with a proven ability to collaborate with cross‑functional teams (data scientists, data engineers, and architects).

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract