ML Ops Engineer jobs in United States
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Mphasis · 22 hours ago

ML Ops Engineer

positionSan Leandro, CA
timeContract
remoteHybrid
seniorityMid Level
money$55/hr - $70/hr

Mphasis is seeking a hybrid Data Science & ML Ops Engineer to drive the full lifecycle of machine learning solutions. This role involves developing predictive models and maintaining ML pipelines to enhance fraud reduction, operational efficiency, and customer insights.

Artificial Intelligence (AI)BlockchainCyber SecurityInformation TechnologyIT Management
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H1B Sponsor Likelynote
Hiring Manager
Arul Kumar A
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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

Qualification

PythonSQLML librariesCloud platformsContainerizationData engineering toolsML Ops frameworksSoftware engineering principlesDevOps practicesCommunication skills

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
Python
SQL
ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)
Cloud platforms (GCP, AWS, Azure)
Containerization (Docker, Kubernetes)

Preferred

Data engineering tools (Airflow, Spark)
ML Ops frameworks
Software engineering principles
DevOps practices

Company

Mphasis

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Glassdoor3.4
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Mphasis is an IT services company that offers blockchain, cyber security, product engineering, DevOps, and other services. It is a sub-organization of Blackstone Group.
dateFounded in 1998
location
Bangalore, Karnataka, IND
people-size10001+ employees
web-link
https://www.mphasis.com

H1B Sponsorship

Mphasis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1309)
2024 (1487)
2023 (1371)
2022 (1648)
2021 (1415)
2020 (1251)

Funding

Current Stage
Public Company
Total Funding
$68.92M
Key Investors
Blackstone Group
2020-04-02Post Ipo Equity· $68.92M
2016-04-05Acquired
2004-06-04IPO

Leadership Team

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Nitin Rakesh
Chief Executive Officer and Managing Director
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Aravind Viswanathan
CFO
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