Back to Remote jobs >
Software Development
MLOps Engineer
@Agiledreamteam
[Hiring] MLOps Engineer @Agiledreamteam
Mar 16, 2025 - Agiledreamteam is hiring a remote MLOps Engineer. 💸 Salary: competitive salary. 📍Location: USA.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
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.
Similar Remote Jobs
More jobs at Agiledreamteam
-
Software Development competitive salary USAMar 18, 2025
-
All others competitive salary USAMar 17, 2025
-
Project Management competitive salary USAMar 16, 2025
More AI / ML jobs
-
Software Development competitive salary + generous benefits + stock options EuropeMar 18, 2025
-
Software Development from $40.00 per hour USAMar 18, 2025
More jobs in USA
-
All others $250,000 - $300,000 per annum USAMar 18, 2025 -
Sales / Business $128,160.00 to $160,200.00 USAMar 18, 2025
Kickstart Your Job Search
Need advice to apply?
Join our free
Webinar « 3
Mistakes to Avoid When Looking For A Remote Startup Job (And What To Do Instead) »
Register for free
Unlock 52,146 additional remote jobs, advanced search & email notifications
Get Access Now
Too many emails? Declutter your inbox with Meco
Your home for reading newsletters
Try for free - no card required.
️
| 📍 | 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. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
competitive salary
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Mar 16, 2025
|
️
| 📍 | 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. |
