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ML Ops Engineer

Apolis

Concord, CA

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JOB DETAILS
SALARY
$50–$55 Per Hour
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automation, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, DevOps, Docker, Documentation, Documentation Models, Environmental Monitoring, GCP (Good Clinical Practices), Java, Machine Learning, Machining Operations, Maintain Compliance, Microsoft Windows Azure, Performance Analysis, Performance Modeling, Python Programming/Scripting Language, SQL (Structured Query Language), Software Engineering
LOCATION
Concord, CA
POSTED
30+ days ago
Job Title: ML Ops Engineer
Location: Concord CA
Cleint Round : Inperson (Lets Target only locals and willing to go for inperson interview @ customer location)

Overview
Tachyon Cortex Machine Learning 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.

About the Company

A

Apolis

Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.

We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.

COMPANY SIZE
500 to 999 employees
INDUSTRY
Computer/IT Services
EMPLOYEE BENEFITS
Paid Sick Days, Employee Referral Program, Employee Events, Retirement / Pension Plans
WEBSITE
https://www.apolisrises.com/

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