Machine Learning Engineer

Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.

Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.

Implementing real-time data processing and streaming pipelines using Google Pub/Sub and Dataflow.

Conducting performance tuning and optimization of machine learning algorithms and infrastructure for efficiency and scalability.

Proficient in Python programming and experience with machine learning libraries such as TensorFlow, scikit-learn, Keras etc.

Understanding of machine learning algorithms, deep learning techniques, and model evaluation metrics.

Familiarity with software development best practices, version control systems (e.g., Git), and agile methodologies.

Knowledge of containerization technologies such as Docker and container orchestration platforms like Kubernetes.

Familiarity with continuous integration/continuous deployment (CI/CD) pipelines for machine learning applications.

Understanding of data privacy and security standards, including GDPR, HIPAA, etc.