SENIOR MLOPS/DEVOPS ENGINEER AI (COMPUTER VISION) WANTED?

Talent Hunter is an IT and Telecom recruitment company dedicated to ensuring the best professional opportunities for talents in the high-tech industry, while providing quick and cost-effective solutions to client companies seeking top-tier talent for their business. We believe that each of us is designing our lives through the everyday choices we make.

We are currently looking for a Senior MLOps / DevOps Engineer AI (Computer Vision). This is a key role for someone who thrives at the intersection of robust software engineering and cutting-edge Machine Learning.

The Role

• In this position, you will bridge the gap between AI research and production-grade software. You will be responsible for designing the cloud-based infrastructure that powers large-scale Computer Vision models, ensuring they are scalable, secure, and highly available.

Your Tasks

• Infrastructure & Automation: Develop and maintain cloud-based infrastructure and CI/CD pipelines specifically for training and deploying CV models.
• ML Lifecycle: Collaborate with AI Engineers to streamline the entire development lifecycle—from tracking experiments to production deployment.
• Orchestration: Manage and optimize ML pipelines, ensuring robust integration into production environments using modern software practices.
• Scalability: Contribute to building efficient, large-scale AI solutions that can handle massive datasets.
• Monitoring: Implement and manage observability stacks to ensure system health and model performance.

Your Profile

• Experience: Professional experience in MLOps, DevOps, or Data Engineering.
• Software Engineering: Strong Python programming skills with a passion for writing clean, maintainable, and well-tested code.
• A foundational understanding of machine learning, deep learning concepts, and AI workflows.
• A solid software development background, with an understanding of DevOps principles and monitoring practices.
• Containerization: Hands-on experience with Docker and Kubernetes.
• Infrastructure as Code: Proficiency with Terraform.
• Cloud Platforms: Solid experience with at least one major provider (AWS, GCP, or Azure).
• CI/CD: Proven track record of building and managing complex deployment pipelines.
• Monitoring: Experience with Prometheus, Loki, and Grafana.
• Mindset: A proactive, independent problem-solver with a foundational understanding of AI workflows.

Bonus Points For

• Experience with MLOps frameworks like MLflow, AirFlow, Kubeflow, SageMaker, or Vertex AI.
• Hands-on experience with PyTorch.
• A background or strong interest in Computer Vision.

If this opportunity matches your career goals, please apply with your CV in English.

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