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.(ref : hirist.tech)