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AI Engineer / Machine Learning Engineer – MLOps

Keystone AI · United States · Posted 7d ago

remotemidEstimated 78k-210k USD🇺🇸 United States
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About the role

Design, deploy, and maintain machine learning models in production environments.

This is a remote position. AI Engineer / Machine Learning Engineer – MLOps We are looking for an AI Engineer with strong experience in Machine Learning Operations (MLOps) to design, deploy, monitor, and maintain machine learning and AI models in production environments. The candidate will be responsible for building scalable ML pipelines, automating model deployment, managing model lifecycle, and ensuring reliability, performance, and governance of AI systems. Key Responsibilities Build and maintain ML pipelines for training, testing, and deployment Deploy machine learning and AI models into production environments Manage model lifecycle (training, deployment, monitoring, retraining) Automate workflows using CI/CD for ML models Monitor model performance, drift, and data quality Work with data scientists and AI developers to productionize models Manage model versioning, data versioning, and experiment tracking Deploy models on cloud platforms (AWS, Azure, GCP) Containerize applications using Docker and Kubernetes Implement monitoring and logging for ML systems Ensure scalability, security, and reliability of AI systems Requirements Required Skills Python Machine Learning MLOps tools and frameworks Docker Kubernetes CI/CD (GitHub Actions, Jenkins, GitLab CI) MLflow / Kubeflow / Airflow Data pipelines APIs (FastAPI / Flask) Cloud platforms (AWS / Azure / GCP) SQL / NoSQL databases Model monitoring and logging MLOps Tools (Important) Candidate should have experience in some of these: MLflow Kubeflow Airflow DVC Weights & Biases SageMaker Azure ML Vertex AI Docker Kubernetes Terraform Experience Required 3–7 years in Machine Learning / AI / Data Engineering 2+ years in MLOps / Model Deployment / ML Pipelines Experience deploying models to production is mandatory Education Benefits Competitive compensation package Opportunities for professional development and career advancement. Flexible working conditions, with remote options available. Dynamic and supportive work environment. Equal Employment Opportunity Keystone AI LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. Originally posted on Himalayas

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FAQ

Is the AI Engineer / Machine Learning Engineer – MLOps role at Keystone AI remote?+

This AI Engineer / Machine Learning Engineer – MLOps position is listed as remote (United States).

What is the salary for the AI Engineer / Machine Learning Engineer – MLOps role at Keystone AI?+

The listing states Estimated 78k-210k USD.

What seniority level is this AI Engineer / Machine Learning Engineer – MLOps role?+

This is a mid level position.

How do I apply for the AI Engineer / Machine Learning Engineer – MLOps role at Keystone AI?+

Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Keystone AI.