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MLOps Engineer @Agiledreamteam

[Hiring] MLOps Engineer @Agiledreamteam

Mar 16, 2025 - Agiledreamteam is hiring a remote MLOps Engineer. đź’¸ Salary: competitive salary. đź“ŤLocation: USA.

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Role Description

As an MLOps Engineer, you will be responsible for automating, deploying, and optimizing AI/ML models to ensure efficiency, reliability, and scalability. You will collaborate with Data Scientists, AI Engineers, and DevOps teams to bridge the gap between model development and production deployment.

  • Build and maintain MLOps pipelines for efficient model training, validation, and deployment.
  • Automate model retraining, monitoring, and scaling using CI/CD and orchestration tools.
  • Deploy Machine Learning models in cloud, hybrid, and on-prem environments.
  • Implement model versioning, governance, and explainability for AI solutions.
  • Optimize ML model performance, inference speed, and resource utilization.
  • Utilize cloud AI/ML services (AWS Sagemaker, Azure ML, Google Vertex AI).
  • Work with Docker, Kubernetes, and serverless computing to containerize AI models.
  • Implement model monitoring and logging (Prometheus, Grafana, MLflow, TensorBoard).
  • Ensure AI solutions comply with security, scalability, and ethical AI standards.
  • Collaborate with software engineers, DevOps, and AI teams to enhance AI delivery processes.

Qualifications

  • Proficiency in MLOps frameworks: MLflow, Kubeflow, TFX, Airflow.
  • Strong experience with CI/CD pipelines for ML model automation.
  • Hands-on experience deploying ML models in AWS, Azure, or GCP.
  • Expertise in Docker, Kubernetes, Terraform, and cloud automation.
  • Strong programming skills in Python, Bash, and YAML.
  • Experience with data versioning, model tracking, and pipeline orchestration.
  • Knowledge of API deployment for AI models using FastAPI, Flask, or GraphQL.
  • Experience in scaling and optimizing AI inference on cloud and edge environments.
  • Strong understanding of DevOps principles applied to AI/ML workflows.

Preferred Qualifications

  • Experience in LLM fine-tuning, Retrieval-Augmented Generation (RAG), and AI APIs.
  • Knowledge of AI model explainability, bias detection, and responsible AI practices.
  • Experience in distributed computing (Ray, Dask, Spark) for ML workloads.
  • Contributions to open-source AI/ML projects or publications.
  • Background in Machine Learning, Data Science, or Cloud Infrastructure.

Benefits

  • Work with a top-tier AI/ML team that’s shaping the future of MLOps.
  • 100% remote role with a flexible schedule.
  • Opportunities for growth and continuous learning in AI and MLOps.
  • Engage in cutting-edge AI projects that create real-world impact.
  • Competitive salary.

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Back to Remote jobs  >   Software Development
MLOps Engineer @Agiledreamteam
Software Development
Salary đź’¸ competitive salary
Remote Location
USA
Job Type full-time
Posted Mar 16, 2025
Apply for this position Unlock 52,148 Remote Jobs
️
đź“Ť Be aware of the location restriction for this remote position: USA
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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