PL
MLOPS Engineer
PeopleNTech LLC
🇺🇸 United States
On-site
6 months ago
- MLOps
- AI/ML
- Machine Learning
- Java
- Python
- SQL
- scikit-learn
- XGBoost
- TensorFlow
- PyTorch
- Docker
- Kubernetes
- Airflow
- Devops
- MLflow
- Kubeflow
- Vertex AI
- GCP
- AWS
- Azure
- CI/CD
- AI
6 months ago
Location :Concord, CA (100% Onsite)
Rate : $65/hr.
Hire Type : Contract
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.
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
MLOPS Engineer · PeopleNTech LLC