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Senior MLOps Engineer in San Francisco

Senior MLOps Engineer in San Francisco

Energy Jobline ZRSan Francisco, CA, United States
17 hours ago
Job type
  • Full-time
Job description

Senior MLOps Engineer

The Senior MLOps Engineer will design, build, and scale the systems that power CivCheck and Clariti's AI capabilities. As the first MLOps Engineer, you will lead the development of robust ML infrastructure, ensuring that models move efficiently from research to production with reliability, observability, and performance at scale.

Responsibilities

  • Design and maintain end-to-end ML pipelines for training, evaluation, and deployment of models and agentic AI workflows
  • Build and optimize infrastructure for distributed training and model serving across GPU and cloud environments.
  • Develop tools for data creation, model versioning, experiment & performance tracking, and automated retraining.
  • Collaborate with AI researchers and ML engineers to productionize POCs and ensure model reproducibility and scalability.
  • Implement CI / CD best practices for ML systems, including continuous integration, automated testing, and deployment workflows.
  • Monitor and manage model health, performance, drift, and data quality in production.
  • Partner with Engineering teams to streamline infrastructure provisioning and data access.
  • Drive cost optimization and performance tuning for large-scale model training.
  • Contribute to internal documentation and best practices.

Qualifications

  • 6–10+ years of experience in software or ML engineering, with at least 3+ in MLOps or ML infrastructure.
  • Solid experience working with Python, C, C++, Bash, etc.
  • Proven experience deploying and managing ML models in production.
  • Proficiency with Docker and Kubernetes for scalable ML system design.
  • Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration.
  • Hands‑on knowledge of CI / CD pipelines (GitHub Actions, Jenkins, or similar). Familiarity with MLflow, Weights & Biases, Kubeflow and other similar tools for experiment tracking and pipeline automation.
  • Solid understanding of data versioning, model reproducibility, and monitoring strategies.
  • Excellent problem‑solving skills and a collaborative, team‑oriented mindset.

    • Bonus Points

  • Experience training models from scratch, including defining architectures, curating & cleaning datasets, tuning training parameters, and bringing models from research to monitored production.
  • Exposure to model optimization techniques (quantization, distillation, TensorRT, ONNX).
  • Familiarity with infrastructure‑as‑code tools (Terraform, CloudFormation).
  • Background in distributed systems or high‑performance computing.
  • Contributions to open‑source projects.

    • Compensation

    The base salary range for this role is expected to be between $190,000-240,000 based on the candidate's skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy.

    Benefits

    We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy.

  • Benefits depend on employment type (full‑time, part‑time, contract, etc).

    • Background Checks

    Because our customers trust us with sensitive information, we require all successful candidates to undergo comprehensive background checks before joining our team. We focus strictly on global sanctions and criminal offences that are directly relevant to employment at Clariti, and follow all applicable privacy and human rights legislation.

    Travel

    All roles are expected to participate in occasional travel for in‑person company‑wide or departmental meetings, typically 1–2 times per year.

    Culture

    We welcome and encourage candidates of all backgrounds to apply. Our team values ownership, growth mindset, courageous communication and customer‑focus. We are building an inclusive culture that leverages diverse experiences to create impactful solutions.

    Contact

    If you require accommodations in completing an application, interviewing, or participating in any pre‑employment testing, please direct your questions to hr@claritisoftware.com.

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    Senior Mlops Engineer • San Francisco, CA, United States