MLOps Engineer

World Wide Technology - Maryland Heights, MO

Hiring: MLOps Engineer Company: World Wide Technology Location: Maryland Heights, MO Job Posted Time: 2026-09-17 01:38:02 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Accessibility, Agile, Ansible, Azure, Azure DevOps, CI/CD, Databricks, Feature Store, GCP, GitHub Actions, GitLab CI, Grafana, Helm, IAM, Infrastructure as Code, Kubeflow, Kubernetes, LLM, MLOps, MLflow, Model Registry, Nim, OpenTelemetry, Prometheus, Pulumi, Python, R, RAG, SQL, SageMaker, Shell, Snowflake, Terraform, Triton, Vertex AI About the job Required Skills: •Develop, productionize, and deploy cutting-edge AI & ML solutions inside client environments; both cloud and on-prem •Build and operationalize the infrastructure models run on: Kubernetes clusters, GPU management, model serving, AI gateways, and the CI/CD pipelines that promote models between environments. •Design and build ML pipelines: feature extraction and transformation, training and retraining jobs, model registry, validation gates, and deployment at scale. •Deploy solutions with enterprise rigor; infrastructure as code, observability, guardrails, cost controls. Proactively identify issues with production readiness, security, or architecture reviews, and develop solutions. •Bring what you learn on engagements back to the practice as reusable patterns, reference architectures, and accelerators. Support pre-sales scoping and internal R&D. •Stay current on new developments in AI (models, techniques, tooling and platforms) and provide pragmatic advice to teammates and clients. •Hands-on Kubernetes experience in production: Helm, ingress, persistent storage, autoscaling, and GPU scheduling. •Working depth in at least one major cloud (AWS, Azure, GCP): provisioning, IAM, networking, autoscaling, and its managed AI/ML services. Qualifications: •On-prem or hybrid infrastructure experience: GPU servers, the NVIDIA software stack (drivers, CUDA, NIM, Triton, AI Enterprise), and the storage and networking that training and inference workloads demand. •Demonstrated capacity to communicate complex ideas in a concise way. Fluent with popular diagraming and presentation software. •Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program •Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement •Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring •Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program •Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits. For more information, see our US benefits website at wwt.com/us-benefits. •We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all! •If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process. Compensation: •$104,000 - $130,000 / year •Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that are not included in the base pay Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!