MLOPS Engineer
ampcusScottsdale (AZ)
About the role
Job-ID32873915Reference26-13488 Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Role: MLOPS Engineer
Location: Scottsdale AZ (Onsite)
Contract : Long TermWe are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance.
Key Responsibilities:
- Design and implement end-to-end ML pipelines from data ingestion to model deployment
- Build and manage CI/CD pipelines for ML models (training, testing, deployment)
- Automate model monitoring, retraining, and performance optimization
- Collaborate with Data Scientists and Data Engineers for productionizing ML models
- Ensure scalability, reliability, and security of ML systems
- Manage model versioning, experiment tracking, and lifecycle management
- Implement best practices for governance, compliance, and reproducibility
- Key Skills & Expertise
- Strong programming skills in Python
- Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
- Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure MLKnowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CIExperience with cloud platforms: AWSStrong understanding of data pipelines, ETL processes, and distributed systems
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this