MLOps Engineer - Cloud Services

Job Title : MLOps Consultant

Role Overview :

We are seeking an experienced MLOps Consultant to provide expert guidance and technical support for deploying machine learning models to a secure, scalable, and cloud-hosted environment. This role involves advising on infrastructure design, API deployment strategies, CI/CD pipelines for ML models, and best practices for operationalizing machine learning workflows.

Key Responsibilities :

- Review and assess the current ML model deployment setup.

- Recommend suitable cloud platforms and hosting strategies for ML models and APIs.

- Define and implement best practices for MLOps, including version control, monitoring, and retraining workflows.

- Provide guidance on CI/CD pipeline design and automation for ML systems.

- Advise on security, compliance, and data governance in cloud-based environments.

- Collaborate with engineering teams to integrate ML components into the overall platform.

- Deliver documentation, processes, and recommendations for ongoing maintenance and scalability.

Required Qualifications :

- Proven experience in MLOps and cloud-based ML model deployment.

- Strong knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, MLflow, Seldon, etc.).

- Hands-on experience with major cloud providers (AWS, Azure, or GCP).

- Proficiency in containerization and orchestration (Docker, Kubernetes).

- Familiarity with DevOps tools and principles (GitLab CI/CD, Jenkins, etc.) applied to ML workflows.

- Understanding of security, compliance, and data governance.

- Strong communication skills for technical consultation and documentation.

Nice-to-Have :

- Experience with MATLAB integration in production environments.

- Background in computer vision or image processing systems.