Machine Learning Engineer

2 days ago

Atlanta, United States Stellar Consulting Solutions, LLC Full time

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.

The resource should have experiences in

  • Collaborating with cross-functional teams to understand business requirements and translate them into scalable machine learning solutions.
  • 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.
  • Collaborating with DevOps and IT teams to ensure smooth integration and operation of machine learning solutions within the existing infrastructure.


Additional must have skills:


  • Proficiency 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.
  • Excellent problem-solving skills and ability to work effectively in a fast-paced environment with tight deadlines.
  • Strong communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • 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.

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