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Senior Automl Jobs (NOW HIRING)

Sr MLop engineer

San Leandro, CA · On-site

$116K - $159K/yr

Syntricate Technologies is seeking a Sr ML Ops Engineer to drive the full lifecycle of machine ... Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation ...

Sr Specialist Data Scientist

Plano, TX · On-site

$132K - $192K/yr

... AutoML tools. Utilize visualization tools including Matplotlib, Seaborn, Tableau, and Power BI ... Our Sr Specialist Data Scientists earn between $132,600 - $192,100 yearly. Not to mention all the ...

New

Sr Specialist Data Scientist

Plano, TX · On-site

$132K - $192K/yr

... AutoML tools. Utilize visualization tools including Matplotlib, Seaborn, Tableau, and Power BI ... Our Sr Specialist Data Scientists earn between $132,600 - $192,100 yearly. Not to mention all the ...

Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable ... Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time ...

Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable ... Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time ...

Senior Lead AI Engineer (MLXT)

Mclean, VA · On-site

$229.90 - $262.40/hr

## Senior Lead AI Engineer (MLXT)Applylocations: McLean, VA: San Francisco, CA: Cambridge, MA: San ... Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time ...

Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable ... Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time ...

... Senior Technical Lead General Purpose of the Job We are seeking a highly skilled Senior AI Tech ... Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms ...

The Senior Analytics Engineer bridges data engineering, business intelligence, advanced analytics ... Time-series forecasting, trend analysis, exposure to Automated ML (AutoML), and predictive feature ...

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Senior Automl information

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$25K

$80.3K

$163.5K

How much do senior automl jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior automl in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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Sr MLop engineer

Syntricate Technologies

San Leandro, CA • On-site

$116K - $159K/yr

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Sr ML Ops Engineer to drive the full lifecycle of machine learning solutions, bridging the gap between data science model development and production-grade ML Ops Engineering. The role involves developing predictive models, maintaining ML pipelines, and automating model training and deployment processes.
Responsibilities:
• Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights.
• Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
• Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
• Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
• Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
• Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Qualifications:
Required:
• Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Experience with cloud platforms and containerization (Docker, Kubernetes).
• Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
• Solid understanding of software engineering principles and DevOps practices.
• Ability to communicate complex technical concepts to non-technical stakeholders.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.