Junior ML Ops Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Junior ML Ops Engineer (MLOps/AI): Building and optimizing stable, scalable ML pipelines for a major US retail company with an accent on automation, continuous delivery, and infrastructure as code. Focus on developing tools for ML workflow orchestration, deploying models via CI/CD, and ensuring high performance in a production environment.
Location: Wroclaw, Poland
Company
is a technology services provider partnering with a leading US-based retail company to build high-performance search and ML infrastructure.
What you will do
- Build automation tools for ML workflow orchestration and model deployment using CI/CD workflows.
- Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools.
- Write clean, maintainable code in Python, Go, and other object-oriented languages like Java.
- Troubleshoot and resolve issues related to ML workflow deployments.
- Generate and maintain operational reporting pipelines through BigQuery, Looker, and Tableau.
- Collaborate with data scientists to improve developer workflows and ensure seamless tool integration.
Requirements
- 1+ years of experience in MLOps, DevOps, or a related role.
- Hands-on experience with Vertex AI or similar platforms like Amazon SageMaker.
- Proficiency in Python and understanding of model deployment, monitoring, and scaling in production.
- Experience with Kubernetes or other containerized orchestration platforms.
- Basic knowledge of cloud technologies (AWS, GCP) and security best practices in cloud environments.
- Ability to write unit and integration tests, providing clean and reusable code.
Nice to have
- Experience with e-commerce and understanding of general digital e-commerce concepts.
- Basic knowledge of reporting tools like Tableau, Looker, and BigQuery (SQL).
- Passion for utilizing GenAI to reduce manual processes.
Culture & Benefits
- Paid vacation and sick days.
- Compensation for sports and insurance.
- English language classes.
- Training compensation and charity initiatives.
- Friendly and cozy team atmosphere.
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