Machine Learning Engineer

Pivotal Talent SearchOakland, US
Published on

About the Role

The Machine Learning Engineer at Pivotal Talent Search will expand and optimize the company's existing data infrastructure, collaborating across various functions of the business including Analytics, Data Engineering, and Software Engineering.

Responsibilities

  • Collaborate with data scientists and analysts to operationalize ML models, streamline workflows, and maintain model reproducibility and versioning.
  • Design, implement, and manage robust, scalable pipelines for analytics and machine learning, ensuring seamless data ingestion, transformation, and accessibility.
  • Maintain and optimize data storage solutions and query performance, prioritizing cost-efficiency and scalability within the Cloud Platform (GCP).
  • Implement ML Ops best practices, including model CI/CD, feature store management, and metadata tracking.
  • Automate routine analytics workflows and model lifecycle stages.
  • Develop monitoring and alerting systems for high reliability of ML pipelines and analytics dashboards.
  • Drive internal improvements by refactoring legacy systems to containerized, serverless frameworks.
  • Collaborate with engineering and DevOps for version control and infrastructure management.
  • Support CI/CD pipelines for both analytics infrastructure and ML models.
  • Establish governance, monitoring, and quality protocols for analytical integrity.
  • Implement GCP best practices for data security and regulatory compliance.
  • Provide technical support for bug resolution and code reviews, maintaining optimum performance across teams.

About the Candidate

To be successful in this role, you should possess the following experience and qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering, analytics, and ML infrastructure.
  • Background in building and optimizing analytics and ML pipelines.
  • Experience with production-grade infrastructure for ML workflows.
  • Proficiency in Python and SQL; BigQuery experience preferred.
  • Knowledge of Bash scripting, Linux environments, and cloud services (GCP preferred).
  • Familiarity with containerized application environments (e.g., Docker, Kubernetes) and orchestration tools.
  • Proficiency in workflow orchestration tools (e.g., Airflow, Luigi).

About the Company

Pivotal Talent Search is located in Oakland, California, and offers a dynamic environment that encourages collaboration and innovation.

Company Culture and Benefits

At Pivotal Talent Search, you will find a culture that values teamwork, continuous improvement, and the sharing of knowledge. Joining our team means being part of an innovative community that supports various development opportunities and career growth.