MLOPS Engineer

Concord, CA - USA

Monthly Salary: $ 60 - 60

Experience Required: 5years

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

Location: Concord CA (100% Onsite)Hire Type: ContractEmployment Eligibility: GC and USCRole SummarySeeking 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 reliabil...