TestingXperts ยท 7 hours ago
W2 | MLOPS Engineer | Concord, CA (100% Onsite) | Locals only
TestingXperts is seeking an MLOPS Engineer to develop and maintain machine learning pipelines. The role involves automating model training and deployment in cloud environments while ensuring compliance and performance monitoring of models.
Responsibilities
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
Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
Qualification
Required
10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Experience with cloud platforms and containerization (Docker, Kubernetes)
Hands on experience delivering 3-4 end to end Production projects
Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks
Solid understanding of software engineering principles and DevOps practices
Good communication skills and able to manage stakeholders
Company
TestingXperts
Next Gen QA & Software Testing Company
Funding
Current Stage
Late StageRecent News
PR Newswire
2025-09-02
Canada NewsWire
2025-08-14
Company data provided by crunchbase