Senior AI/ML Platform Engineer

Robotics Technologies LLC; Linthicum (MD); On-site; USD 150,000 - 210,000; Full time

Job summary

Robotics Technologies LLC is seeking a Senior AI/ML Platform Engineer to design, implement, operate, and continuously improve the shared enterprise AI/ML platform. The role emphasizes platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization.

The ideal candidate has 10+ years in related fields, 2+ years with production ML systems, strong Python skills, and experience with Kubernetes, Terraform/Ansible, and cloud providers

Qualifications

• 10+ years of experience in platform engineering, MLOps, or data/software engineering.
• 2+ years with production ML systems.

Responsibilities

• Design, implement, operate, and continuously improve the shared enterprise AI/ML platform.
• Develop and optimize CI/CD pipelines for ML workflows.
• Manage cloud infrastructure and cost optimization.
• Enhance observability, reliability engineering, and incident response.
• Build internal SDKs, CLI tools, APIs, and templated deployment workflows.

Skills

Python

Production software

Platform engineering

MLOps

Education

Bachelor's degree in computer science or related field

Tools

Kubernetes

Prometheus

Grafana

Datadog

OpenTelemetry

Terraform

Ansible

Job description

Job Description: Position Overview: The Senior AI/ML Platform Engineer will design, implement, operate, and continuously improve the shared enterprise AI/ML platform. Key areas of focus include platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization.

Key Requirements:

• 10+ years of experience in platform engineering, MLOps, or data/software engineering, including 2+ years with production ML systems.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related technical discipline (Master's degree preferred).
• Strong proficiency in Python and production-grade software development.
• Experience designing and improving ML CI/CD pipelines, automation frameworks, and deployment processes.
• Hands-on experience with AWS, Azure, or GCP, including cloud resource management and cost optimization.
• Advanced Kubernetes experience (cluster management, resource quotas, autoscaling, workload scheduling).
• Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
• Production-scale experience with Terraform and Ansible.
• Strong understanding of the ML lifecycle, experiment tracking, model registries, feature stores, model serving, and drift monitoring.
• Experience with automated model validation, testing, A/B testing, canary deployments, rollbacks, and production releases.
• Experience developing internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows.
• Strong troubleshooting, incident response, root-cause analysis, and technical documentation skills.

Preferred Qualifications:

• Experience with shared platforms or Internal Developer Platforms (IDPs).
• Familiarity with LLM serving technologies (e.g., vLLM, TGI, managed LLM APIs).
• Background in government, regulated, or FedRAMP-compliant environments.
• Knowledge of the NIST AI Risk Management Framework and responsible AI governance.
• Familiarity with FinOps practices and tools (e.g., Infracost, AWS Cost Explorer).
• Expertise in GitOps, platform APIs, developer tooling, and infrastructure observability.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.