MLOps Engineer (Istanbul / Ankara / Izmir)

Posted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office
Junior
Information Technology • Software
The Role
As an MLOps Engineer, you will automate ML pipelines, maintain CI/CD workflows, and collaborate with data scientists to optimize ML models in production.
Summary Generated by Built In

About the Role

Huawei Turkey R&D Center is seeking a skilled MLOps Engineer to support our AI projects by building and maintaining scalable, reliable, and efficient MLOps infrastructures.
You will be responsible for managing the end-to-end lifecycle of machine learning models — from experimentation to deployment and monitoring — while working closely with data scientists and software engineers.

Key Responsibilities

  • Automate ML model training, testing, deployment, and monitoring pipelines
  • Design and maintain CI/CD workflows for ML systems
  • Manage model versioning, experiment tracking, and model serving processes
  • Collaborate with data science teams to optimize model performance in production
  • Implement cloud-based MLOps solutions (Huawei Cloud or similar platforms)
  • Ensure model observability, traceability, and security across all environments
  • Establish and maintain comprehensive monitoring and logging systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health and proactive issue resolution.
  • Configure and optimize the performance of Nvidia GPUs for training and inference workloads. Experience with Huawei Ascend NPUs is a strong advantage and will be a key focus on the job

Requirements
  • Bachelor’s or Master’s degree in Computer Science, Electrical & Electronics Engineering, or related fields
  • Minimum 2 years of experience in MLOps, DevOps, or ML infrastructure engineering
  • Strong experience with Python, Bash, Docker, Kubernetes, Linux and Git
  • Hands-on experience with CI/CD tools (Jenkins, GitLab CI, ArgoCD, etc.)
  • Experience with ML pipeline tools such as MLflow, Kubeflow, or Airflow
  • Familiarity with cloud platforms (Huawei Cloud, AWS, GCP, or Azure)
  • Understanding of model monitoring and logging frameworks (Prometheus, Grafana, ELK Stack

Preferred Qualifications

  • Experience optimizing or deploying ML models in production
  • Experience with API development or microservice architectures
  • Familiarity with LLM, NLP or Computer Vision model deployment

Top Skills

Airflow
Argocd
AWS
Azure
Bash
Docker
Elk Stack
GCP
Git
Gitlab Ci
Grafana
Huawei Cloud
Jenkins
Kubeflow
Kubernetes
Linux
Mlflow
Prometheus
Python
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The Company
Bellevue, WA
168,766 Employees

What We Do

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

House Rules
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- By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited.

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