Senior MLOps Engineer

Vakansiyanın detalları

Design and implement CI/CD pipelines for ML workflows
Automate ML workflows from experimentation through production deployment
Build and manage ML workflow orchestration
Implement standardized practices for model versioning, reproducibility, and A/B testing
Optimize model deployment for performance, scalability, and cost-efficiency
Ensure secure, compliant model pipelines that meet data residency requirements
Create monitoring solutions that work consistently across both cloud and on-premises deployments
Apply LLMOps practices, including evaluation, monitoring, and prompt/version management
Design and execute testing frameworks for LLM evaluation and reliability
Assist in integrating LLMs with internal applications and systems
Collaborate with Data Scientists, Data Engineers, and application teams to deliver end-to-end AI solutions

Proficiency with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Strong programming skills in Python
Experience with containerization and orchestration tools (Docker, Kubernetes)
Familiarity with CI/CD tools (e.g., GitLab CI/CD, GitHub Actions)
Understanding of cloud platforms
Hands-on experience with ML workflow orchestration tools (e.g., Apache Airflow,)
Experience with experiment tracking and observability tools (e.g., MLflow)
Understanding of LLM deployment challenges (latency, cost optimization, scaling)
Experience with LLM evaluation techniques and prompt engineering

Müraciət üçün (CV): https://azercell.easyhire.me/job/details/68498cea6b683deb9a07a155