Job Description:
Deploy models to production in GCP and own the model maintenance monitoring and support activities
Split time between highlevel strategy and handson technical implementation
Architect build and maintain scalable MLOps pipelines with a focus on GCP / AWS / Azure services such as Vertex AI GKE Cloud Storage and Big Query; stay uptodate with the latest trends and advancements in MLOps
Implement and optimize CI/CD pipelines for machine learning model deployment ensuring minimal downtime and streamlined processes
Work closely with data scientists and data engineers to ensure efficient data processing pipelines model training testing and deployment
Manage data catalog tools for model and dataset versioning lineage tracking and governance. Ensure that all models and datasets are properly documented and discoverable
Develop automated systems for model monitoring logging and performance tracking in production environments
Lead the integration of data cataloging tools (e.g. Open MetaData) ensuring the traceability and versioning of both datasets and models.
Required Experience:
Bachelor s degree in Computer Science Engineering or similar quantitative disciplines
4 years of professional experience in MLOps or similar roles
Candidate should be able to able to write code in ML
Excellent analytical and problemsolving skills for technical challenges related to MLOps
Excellent English proficiency presentation and communication skills
Proven experience in deploying monitoring and managing machine learning models on GCP / AWS / Azure
Handson experience with data catalog tools
Expert in GCP / AWS / Azure services such as Vertex AI GKE BigQuery and Cloud Build Endpoint etc for building scalable ML infrastructure (GCP / AWS / Azure official Certifications are a huge plus)
Experience with model serving frameworks (e.g. TensorFlow Serving TorchServe) and MLOps tools like Kubeflow MLflow or TFX
Behavioural Competencies:
Should have very good verbal and written communication technical articulation listening and presentation skills
Should have proven analytical and problemsolving skills
Should have demonstrated effective task prioritization time management and internal/external stakeholder management skills
Should be a quick learner selfstarter gogetter and team player
Should have experience of working under stringent deadlines in a Matrix organization structure