Lead model development and ML operations using Domino and SageMaker, implement MLflow, maintain ML models, build data pipelines, and ensure compliance.
We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker. This role will drive model lifecycle quality, governance alignment, and engineering excellence. Responsibilities • Own the monitoring, tracking, and maintenance of ML models across Domino and SageMaker platforms. • Implement MLflow for parameters, metrics, artifact management, and end to end lineage. • Build and maintain scalable data pipelines for training, validation, and inference processes. • Develop custom evaluation metrics, explainability components, and fairness/bias testing frameworks. • Package models for deployment and support model lifecycle transitions across environments. • Collaborate with data scientists, engineering teams, and governance stakeholders to ensure compliance and operational readiness. Required Skills & Experience • Strong experience with AWS and ML engineering • Proficiency in Python and MLflow • Hands on expertise with Domino and SageMaker SDKs • Experience with feature engineering and scalable data pipelines • Knowledge of model validation, explainability, and bias/fairness tooling • Familiarity with Git based workflows, version control, and MLOps practices
Top Skills
AWS
Domino
Git
Mlflow
Python
Sagemaker
Similar Jobs
Information Technology • Consulting
Leads development efforts to assess current processes and functional needs. Creates strategies for alignment with business goals and develops integrated enterprise views.
Top Skills:
AspCC++CgiEjbJ2EeJavaMq SeriesNtOraclePowerbuilderSQLSybaseVisual BasicWindows
Enterprise Web • Fintech • Marketing Tech • Software
The Director of Marketing Operations & Automation leads marketing data, systems, and reporting, driving alignment and measurable impact across marketing and sales. Responsibilities include managing marketing operations, optimizing CRM and automation infrastructure, enhancing data governance, and improving marketing technology integration with a focus on AI-driven operational excellence.
Top Skills:
Ai ToolsCRMDemandbaseGa4GongHubspotLeandataSalesforce
.png)
Fintech • Insurance • Machine Learning • Other • Analytics • Financial Services • Automation
The Claims Adjuster will manage workers' compensation claims, ensuring compliance and delivering excellent customer service while mitigating claim exposure and advocating for a superior claims experience.
Top Skills:
G-Suite ToolsSlack
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
