[Hiring] MLOps Engineer @Agiledreamteam

Mar 16, 2025 - Agiledreamteam is hiring a remote MLOps Engineer. 💸 Salary: competitive salary. 📍Location: 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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📍	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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MLOps Engineer @Agiledreamteam

Software Development

Salary 💸 competitive salary	Remote Location USA
Job Type full-time	Posted Mar 16, 2025

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📍	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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[Hiring] MLOps Engineer @Agiledreamteam

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