Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
100% Travel
Skills
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Bash
Cloud Computing
Conflict Resolution
Documentation
GitLab
Good Clinical Practice
Google Cloud Platform
IaaS
Continuous Delivery
Continuous Integration
Databricks
DevOps
Docker
GitHub
Kubernetes
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Microsoft Azure
Open Source
Orchestration
Problem Solving
Python
Scripting
Terraform
Workflow
Job Details
Role: MLOps Engineer
Location: Orlando, FL (Onsite)
Long Term Contract
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
Thanks & Regards
Rakesh
Nutech Systems, Inc.
DESK:
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.