Job Opening for ML Ops Engineer - GCP Vertex AI- Concord CA /Phoenix AZ

[bhuvanesh waran]

Hello,

Hope you are doing well,

Position: ML Ops Engineer - GCP Vertex AI
Type       :  C2C

Location: Concord CA /Phoenix AZ

Job Description

Overview
Tachyon Predictive AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.

 

Key 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

Qualifications

·         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).

·         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.

Regards
Bhuvaneshwaran.S
bhuv...@vysystems.com

https://www.linkedin.com/in/bhuvanesh-kumar-337008222/