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Sr Engineer – Machine Learning & Data Scientist

Sr Engineer – Machine Learning & Data Scientist

Meta Resources GroupSan Francisco, CA, United States
13 hours ago
Job type
  • Full-time
Job description

Our client a top healthcare company seeks a Machine Learning Operations & Data Scientist which involves building and maintaining scalable machine learning pipelines, deploying predictive models into production and ensuring the reliability and performance of AI-driven solutions. The ideal candidate will bridge the gap between data science and engineering contributing to model development automation and cloud-based ML-Ops infrastructure.

This is a contractual position through the end of 2026. The client prefers that the candidate be nearby the greater San Francisco area but they will consider all profiles from the Pacific and Mountain time zones.

Role

  • Collaborate with data science teams to create a streamlined automated pipeline for transitioning ML models from development to production.
  • Design, develop and maintain processes for model versioning, training deployment and continuous updates implementing best practices for monitoring and drift detection.
  • Design and build scalable reproducible infrastructure for ML development and deployment using Infrastructure as Code (IaC) principles.
  • Integrate ML pipelines into continuous integration and continuous deployment (CI / CD) workflows.
  • Ensure reliable and efficient deployment of ML models and implement monitoring solutions to track model performance, data quality and system health.
  • Implement robust security controls, access management and ensure compliance with healthcare industry standards (e.g. HIPAA) during model deployment.
  • Lead, mentor and foster the growth of a team of Junior MLOps Engineers providing technical guidance and cultivating a culture of continuous learning.
  • Work closely with business stakeholders, project managers and cross‑functional teams to understand objectives and communicate project progress effectively.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Information Technology or a related field.
  • Minimum of 4 years of professional experience in MLOps, machine learning and DevOps.
  • 5 years of hands‑on experience in cloud engineering infrastructure or related roles.
  • Proficiency in Python, SQL and relevant ML libraries (e.g. TensorFlow, PyTorch).
  • Expertise in software development methodologies such as Agile, DevOps and CI / CD.
  • Familiarity with cloud platforms (e.g. GCP, AWS) and containerization technologies (Docker, Kubernetes).
  • Proven experience implementing security controls and ensuring compliance in regulated environments.
  • Excellent communication, stakeholder management and team mentorship skills.
  • Preferred Qualifications

  • Preferred certifications in cloud platforms (e.g. AWS, Azure, GCP) and MLOps.
  • Required Skills

    Machine Learning, ML DevOps, AWS, Azure, Python, DBT

    Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala
  • Employment Type : Full Time

    Experience : years

    Vacancy : 1

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    Sr Machine Learning Engineer • San Francisco, CA, United States