استخدام MLOps Engineer

ویستا سامانه آسا | ASA
تهران، تهران

Responsibilities:

Design, implement, and manage scalable MLOps infrastructure for machine learning workflows
Deploy and manage Kubernetes clusters to support machine learning environments
Set up and maintain platforms like JupyterHub, Airflow, and Weights & Biases (W&B) for ML experiment tracking and orchestration
Develop monitoring solutions to track system performance, model training, and deployment pipelines
Automate the deployment, scaling, and monitoring of machine learning models and services
Work with GPU-based environments to enable high-performance training and inference
Collaborate with data science and engineering teams to integrate MLOps tools into existing workflows
Troubleshoot and resolve issues related to infrastructure, pipelines, and model deployments
Continuously improve and optimize the infrastructure to meet the demands of scaling machine learning models

Requirements:

Strong hands-on experience with Kubernetes for managing containerized ML environments
Experience in deploying and managing platforms like JupyterHub for collaborative data science work
Familiarity with Airflow for orchestrating ML pipelines
Proficiency with Weights & Biases (W&B) for experiment tracking and model versioning
Experience with monitoring and logging tools to ensure the reliability and performance of ML systems
Ability to work with GPUs for accelerating model training and inference
Strong understanding of cloud infrastructure and automation tools (Terraform, Ansible, etc.)
Familiarity with CI/CD for ML model deployment and automation
Excellent communication skills and the ability to work collaboratively with cross-functional teams

Bonus Points:

Experience with distributed training systems or ML frameworks like TensorFlow, PyTorch
Familiarity with model serving frameworks like TensorFlow Serving or KFServing
Knowledge of security best practices in ML pipelines and model deployment

تمام وقت

IT / DevOps / Server

۱۴۰۳/۱۲/۲۸

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