3 months ago
Kraków, PolandSenior / Staff+
Responsibilities
- Design and maintain high-performance, scalable AI/ML infrastructure.
- Build and execute production-ready ML pipelines efficiently.
- Serve machine learning models at scale using AI/ML serving frameworks.
- Create tools for continuous monitoring, observability, improvement, and drift detection.
- Translate AI opportunities into deployable and sustainable products.
- Develop scalable AI-driven solutions in collaboration with data scientists, data engineers, architects, DevOps engineers, domain experts, partners, and clients.
- Expand and share knowledge of AI infrastructure, model monitoring, business processes, and domain knowledge.
Requirements
- Strong proficiency in Python and relevant libraries such as NumPy, Pandas, and Kserve.
- Familiarity with Azure, Terraform, Helm charts, ArgoCD, Docker, and Kubernetes.
- Foundational understanding of supervised and unsupervised learning, deep learning, and model evaluation.
- Proficiency in data preprocessing and feature engineering.
- Experience with relational and vector databases.
- At least three years of software development experience, including some experience with TensorFlow, PyTorch, or scikit-learn.
- A bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field.
- Knowledge of Go, C#, or SQL is a plus.
- Strong analytical, verbal communication, written communication, collaboration, and stakeholder skills.
Benefits
- Flexible and hybrid work opportunities.
- Inclusive workplace experiences and opportunities to collaborate with colleagues in a global environment.
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