Overview
On Site
$DOE
Full Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6+ month(s)
Skills
Terraform
Databricks
MLflow
TFX
Job Details
Title: MLops Engineer
Location Orlando, FL(Onsite from day 1)
Job Summary:We are looking for a highly skilled Ops Engineer with strong expertise in Terraform, Databricks, MLOps, and Large Language Models (LLMs). This role is ideal for someone passionate about automating infrastructure, optimizing data and machine learning workflows, and supporting the deployment of advanced AI models in production environments. You will work closely with data scientists, ML engineers, and DevOps teams to enable scalable, secure, and reliable ML and LLM infrastructure.
Required Skills:
- Strong experience with Terraform (Cloud/Open Source) for cloud infrastructure automation.
- Proficiency with Databricks: clusters, jobs, notebooks, DBFS, and workspace management.
- Hands-on experience with MLOps tools (e.g., MLflow, TFX, Kubeflow, Airflow, or SageMaker Pipelines).
- Experience deploying and scaling Large Language Models (LLMs) in production environments.
- Proficiency in CI/CD tooling (GitHub Actions, Azure DevOps, GitLab CI, etc.).
- Scripting and automation using Python, Bash, or similar languages.
- Knowledge of cloud services (AWS, Azure, or Google Cloud Platform), especially for ML workloads.
- Understanding of containerization (e.g., Docker) and orchestration (e.g., Kubernetes) for model deployments.
- Strong problem-solving, troubleshooting, and documentation skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.