ML Operations Engineer (Hybrid Concord CA)
We are seeking ML Ops Engineers for AI Solutions projects at a Financial Services Client. The ML Ops Engineers will work closely with the team developing generative and agentic AI solutions and would maintain publish and release solutions to test and production environments.
This is a 12 month project (extensions possible) 40 hours per week Must work 3 days onsite at the clients offices in Concord CA.
This is a w2 role in the US as a Stage 4 Solutions employee with Healthcare benefits and 401K offered.
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
Requirement:
- 2-8 Years of professional experience in Software Engineering & 3 Years in AI/ML Machine Learning Model Operations.
- Experience with MLflow Kubeflow or Vertex AI
- Strong proficiency in Java or Python
- Experience working with Cloud providers such as AWS Azure GCP
- Experience with 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.
- Bachelors Degree
Please submit your resume to our network at (please apply to the ML Operations Engineer (Hybrid Concord CA) role.)
Please feel free to forward this project opening to others who may be interested.
Stage 4 Solutions is an equal opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates qualifications without regard to race color religion/belief national origin gender identity age disability marital status genetic information or other applicable legally protected characteristics.
Compensation: $50/hr - $55/hr
#LI-SW1
ML Operations Engineer (Hybrid Concord CA) We are seeking ML Ops Engineers for AI Solutions projects at a Financial Services Client. The ML Ops Engineers will work closely with the team developing generative and agentic AI solutions and would maintain publish and release solutions to test and produc...
ML Operations Engineer (Hybrid Concord CA)
We are seeking ML Ops Engineers for AI Solutions projects at a Financial Services Client. The ML Ops Engineers will work closely with the team developing generative and agentic AI solutions and would maintain publish and release solutions to test and production environments.
This is a 12 month project (extensions possible) 40 hours per week Must work 3 days onsite at the clients offices in Concord CA.
This is a w2 role in the US as a Stage 4 Solutions employee with Healthcare benefits and 401K offered.
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
Requirement:
- 2-8 Years of professional experience in Software Engineering & 3 Years in AI/ML Machine Learning Model Operations.
- Experience with MLflow Kubeflow or Vertex AI
- Strong proficiency in Java or Python
- Experience working with Cloud providers such as AWS Azure GCP
- Experience with 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.
- Bachelors Degree
Please submit your resume to our network at (please apply to the ML Operations Engineer (Hybrid Concord CA) role.)
Please feel free to forward this project opening to others who may be interested.
Stage 4 Solutions is an equal opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates qualifications without regard to race color religion/belief national origin gender identity age disability marital status genetic information or other applicable legally protected characteristics.
Compensation: $50/hr - $55/hr
#LI-SW1
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