PL
Devops Engineer with MLOPS
PeopleNTech LLC
šŗšø United States
On-site
6 months ago
- Devops
- MLOps
- Machine Learning
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Docker
- Kubernetes
- CI/CD
- Ansible
- Prometheus
- Grafana
- Elastic Stack
- OpenTelemetry
- SQL
6 months ago
Role : Devops Engineer with MLOPS
Location : Scottsdale AZ
Rate : $65/hr.
"Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.ā
Model developer with strong DevOps experience JD:
Model developer with strong DevOps experience in machine learning model development and deployment. The role combines hands-on ML engineering with DevOps practices to build, deploy, monitor, and operate scalable ML solutions in environments.
Required Skills & Experience
- 4+ years of handsāon experience in machine learning development, deployment, and production support
- Strong programming skills in Python (or equivalent language)
- Proven experience with ML frameworks such as TensorFlow, PyTorch, or Scikitālearn
- Experience applying advanced ML algorithms and evaluating model performance in production
- Handsāon experience working with Spark for largeāscale data processing
- Solid understanding of DevOps principles and practices, including:
- Containerization and orchestration (Docker, Kubernetes)
- CI/CD pipelines
- Infrastructure automation
- Proficiency in Ansible and Python for automation tasks
- Experience with observability and monitoring tools such as Prometheus, Grafana, ELK Stack, and OpenTelemetry
Key Responsibilities
- Design, develop, and maintain endātoāend data science pipelines and ML workflows using Python, R, or similar languages
- Build, test, optimize, and deploy machine learning models, with a focus on fraud detection use cases
- Apply a range of machine learning algorithms and techniques, with a deep understanding of model parameters and performance tuning
- Work with largeāscale (terabyteālevel) datasets using Spark and distributed processing frameworks
- Develop and optimize SQL queries for data extraction, transformation, and analysis
- Automate operational workflows, monitoring, and observability across the technology stack
- Implement CI/CD pipelines for ML model training, validation, and deployment
- Collaborate with crossāfunctional teams to ensure scalable, reliable, and secure ML production systems
Devops Engineer with MLOPS Ā· PeopleNTech LLC