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MLOPS Engineer
MLOPS EngineerXPath Solutions • Concord, California, USA
MLOPS Engineer

MLOPS Engineer

XPath Solutions • Concord, California, USA
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  • [job_card.full_time]
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Location : Concord CA ( 100% Onsite )

Hire Type : Contract

Employment Eligibility : GC and USC

Role Summary

Seeking a Senior MLOps Engineer to build deploy and operate production-grade ML systems . This role focuses on automating the ML lifecycle enabling scalable cloud deployments and ensuring model reliability monitoring and governance in an enterprise environment.

Key Responsibilities

Build and maintain end-to-end ML pipelines using MLflow Kubeflow or Vertex AI

Automate model training testing deployment monitoring and retraining

Implement CI / CD workflows for model versioning and lifecycle management

Deploy ML workloads on Google Cloud Platform AWS or Azure using Docker and Kubernetes

Monitor model performance drift and compliance with model governance (MRM explainability)

Support low-latency inference APIs for real-time and batch scoring

Leverage AutoML tools (Vertex AI AutoML H2O Driverless AI) for rapid model delivery

Required Qualifications

10 years in Software Engineering and 3 years in MLOps / ML Operations

Strong hands-on experience with Java Python SQL

Experience with ML frameworks ( scikit-learn XGBoost TensorFlow PyTorch )

Hands-on delivery of 34 production ML projects

Experience with Docker Kubernetes CI / CD pipelines

Familiarity with Airflow Spark and ML Ops frameworks

Strong communication and stakeholder management skills

Required Skills :

Requirements : Bachelors or Masters degree in Computer Science Information Technology or related field. Minimum of 3-5 years of experience in data engineering with at least 2 years of experience in EKG platforms such as SPARQL RDF and Stardog. Strong skills in Graph DB with Python AML. Experience with some of the following technologies : R language Machine Learning Data Engineering Cloud Platforms ML Ops. Knowledge of SQL and NoSQL databases data modeling and data warehousing concepts. Experience with distributed systems and big data technologies such as Hadoop Spark and Kafka. Strong programming skills in Python and / or Java. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 60 - 60

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MLOPS Engineer • Concord, California, USA

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