Lead Machine Learning Operations Engineer

Lead MLOps Engineer Houston (4 days a week in the office - 1 from home) up to $230,000 20% Bonus Company: As a Lead ML Ops Engineer, you will drive the adoption of DevOps and ML Ops practices to deliver AI/ML solutions across the company. You will be working with diverse teams, you’ll deploy, maintain, and integrate advanced analytics solutions into business operations, leveraging expertise in DevOps, ML Ops, Infra Ops, and cloud-based AI/ML services. Role: Enhance and maintain CI/CD pipelines to streamline AI/ML application development, deployment, and SLA adherence on centralized platforms. Design, develop, and manage scalable and secure infrastructure using Infrastructure-as-Code tools like Terraform, Ansible, and CloudFormation. Templatize Databricks CLI code to optimize AI/ML pipelines for batch processing, streaming, and model serving. Collaborate with cross-functional teams to ensure applications meet performance, scalability, and compliance requirements. Implement best practices for cloud security, cost optimization, and DevOps processes to improve the AI/ML application lifecycle. Requirements: You have a MSc or PhD level in Stem subject. Expertise in code versioning tools like GitHub, GitLab, or Azure DevOps, with proficiency in GitHub Actions for automating CI/CD workflows. Strong experience deploying AI/ML solutions on cloud platforms like AWS, Azure, or GCP; Databricks preferred. Skilled in infrastructure automation tools such as Terraform, Ansible, and CloudFormation. Proficient with data processing tools like Databricks, Apache Spark, and Kafka for batch and streaming pipelines. Experience with containerization and orchestration using Docker and Kubernetes. Knowledge of event-driven and microservices architectures for enterprise platforms. Strong Linux expertise, with understanding of networking, security concepts, and effective communication and mentoring skills. Salary and Benefits $180,000 - $230,000 base salary Bonus up to 20% How to Apply Please register your interest by sending your CV via the Apply link on this page.