What are the responsibilities and job description for the Machine Learning Consultant (Engineer, Lead, Architect ) With GCP position at iitjobs?
Machine Learning Consultant (Engineer, Lead, Architect) With GCP
University or advanced degree in engineering, computer science, mathematics, or a related field.
- 7 years' experience developing and deploying machine learning systems into production as an independent contributor.
- Comfortable with the Python ecosystem, VSCode, Jupyter Notebooks.
- Experience working with big data tools : Hadoop, Spark, Kafka, etc.
- Experience with at least one cloud provider solution (AWS, GCP) and understanding of serverless code development (GCP preferred).
- Experience with object-oriented / function scripting languages : Python, Java, C , Scala, etc. ( Python preferred).
- Ability to work with Google BigQuery or similar data warehouses.
- Work on Kubeflow pipelines independently and propose standards.
- Knowledge of Feature Engineering, Feature Store, and audit capabilities.
- Expertise in standard software engineering methodologies, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.
- Working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX, etc.
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