4 часа назад
Senior/Lead Machine Learning Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Lead Machine Learning Engineer (Python/Azure/Kubernetes): Building and deploying scalable AI-driven solutions and production-ready ML pipelines with an accent on cloud infrastructure, model serving, and continuous monitoring. Focus on designing high-performance ML infrastructure, detecting model drift, and integrating machine learning systems into sustainable enterprise products.
Location: Gdansk, Pomerania, Poland; hybrid work opportunities.
Company
develops AI-driven enterprise software solutions for customers worldwide.
What you will do
- Design and maintain high-performance, scalable AI/ML infrastructure.
- Build and execute production-ready machine learning pipelines.
- Serve models at scale and create tools for continuous monitoring and improvement.
- Develop sustainable AI-driven products using statistical learning, computer vision, and generative AI techniques.
- Collaborate with data scientists, data engineers, architects, DevOps engineers, domain experts, partners, and clients.
- Advance practices for AI infrastructure, observability, model monitoring, and drift detection.
Requirements
- At least 3 years of software development experience and a bachelor's or master's degree in computer science, software engineering, data science, or a related field.
- Strong Python skills and experience with NumPy, Pandas, Kserve, or similar libraries.
- Familiarity with Azure, Terraform, Helm charts, CI/CD, GitOps with ArgoCD, Docker, and Kubernetes.
- Foundational knowledge of supervised and unsupervised learning, deep learning, and model evaluation.
- Experience with data preprocessing, feature engineering, relational databases, vector databases, and AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong analytical, verbal, written communication, and cross-functional collaboration skills.
Culture & Benefits
- Hybrid work opportunities designed to support flexibility and workplace connection.
- Inclusive and diverse international work environment.
- Focus on collaboration, sustainability, innovation, and positive global impact.
- Opportunity to contribute to AI adoption and enterprise software products.
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