MLOps Engineer

Orlando, FL - USA

Monthly Salary: Not Disclosed

Posted on: 30-10-2025

Vacancies: 1 Vacancy

Job Summary

Job Description

As an MLOps Engineer you will be responsible for operationalizing machine learning models and ensuring their seamless transition from development to production. You will design implement and maintain robust pipelines infrastructure and tooling that enable scalable reliable and secure AI/ML solutions. Working at the intersection of data science software engineering and operations you will play a vital role in accelerating AI deployment while ensuring models remain effective and maintainable over time..

Key Responsibilities

Design build and manage CI/CD pipelines for ML model deployment in cloud and on-premise environments.
Containerize and orchestrate ML workloads using Docker and Kubernetes.
Integrate models into operational systems via APIs event-driven workflows or microservices.

Implement model monitoring systems to track performance metrics data drift and prediction accuracy.
Maintain model versioning and registries to ensure reproducibility and governance.
Automate retraining validation and redeployment processes to keep models up to date.

Work closely with Data Scientist to productionize experimental models.
Partner with Data Engineers to design and optimize high-quality data pipelines feeding into ML models.
Collaborate with DevOps and IT Security teams to ensure infrastructure compliance scalability and security.

Optimize compute and storage resource usage for cost efficiency and performance.

Requirements

Degree in Computer Science Data Science Engineering or equivalent practical experience.
Strong programming experience in Python with knowledge of ML frameworks (TensorFlow PyTorch Scikit-learn).
Hands-on experience with MLOps tools such as MLflow or similar.
Experience with DevOps CI/CD pipelines and containerization (Docker Kubernetes).
Knowledge of cloud platforms (Azure AWS GCP) for AI/ML services.
Understanding of IT security compliance and governance for AI systems.

Job Description As an MLOps Engineer you will be responsible for operationalizing machine learning models and ensuring their seamless transition from development to production. You will design implement and maintain robust pipelines infrastructure and tooling that enable scalable reliable and secur...