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reputed company / Machine Learning Engineer – MLOps

Remote, USAFull-timePosted 2026-07-28

This is a remote position.

reputed company / Machine Learning Engineer – MLOps

We are looking for an reputed company with strong experience in Machine Learning Operations (MLOps) to design, reputed company, monitor, and maintain machine learning and AI models in production environments. The candidate will be responsible for building reputed company 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
  • reputed company 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, reputed company, and data reputed company
  • Work with data scientists and AI developers to productionize models
  • Manage model versioning, data versioning, and experiment tracking
  • reputed company models on reputed company platforms (AWS, Azure, GCP)
  • Containerize applications using reputed company and Kubernetes
  • Implement monitoring and logging for ML systems
  • Ensure scalability, reputed company, and reliability of AI systems

Requirements

Required Skills
  • Python
  • Machine Learning
  • MLOps tools and frameworks
  • reputed company
  • Kubernetes
  • CI/CD (reputed company Actions, Jenkins, reputed company CI)
  • MLflow / Kubeflow / Airflow
  • Data pipelines
  • reputed company (FastAPI / Flask)
  • reputed company 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
  • reputed company AI
  • reputed company
  • 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 reputed company development and career advancement.
  • Flexible working conditions, with remote reputed company available.
  • Dynamic and supportive work environment.

Equal Employment Opportunity

reputed company LLC is an Equal Opportunity Employer. We reputed company equal employment opportunities to reputed company reputed company individuals, regardless of race, religion, gender, gender identity, age, marital status, national reputed company, 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 reputed company and applicants.

Originally posted on Himalayas

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