Machine Learning Engineer w Warszawa, Polska

Machine Learning Engineer | Hybrid (2 days/week from office) You will: Design, develop and maintain high-quality, production-grade Python code for AI/ML applications Optimize AI/ML workloads across CPU and GPU infrastructure, balancing performance, scalability and cost Design, automate and operate scalable CI/CD and MLOps pipelines on cloud platforms (GCP and Azure) Build reusable frameworks and tooling for model deployment, monitoring and lifecycle management Design and implement scalable data ingestion, transformation and feature pipelines Design and operate scalable model-serving and inference systems, including real-time and batch inference Support the productionization of Generative AI and LLM-based applications, including deployment, observability and cost optimization Collaborate with Data Scientists, Domain Experts and Product Owners on end-to-end AI/ML products You bring: 3+ years of relevant industry experience in data science, ML engineering, software engineering or MLOps Strong software engineering skills with proficiency in Python Experience with containerization (Docker) and Kubernetes Experience developing and deploying cloud-native applications on GCP and/or Azure Experience with orchestration platforms such as Apache Airflow, Kubeflow or equivalent Proficiency with DevOps practices, including CI/CD and Git-based workflows Hands-on experience designing and supporting RESTful APIs and model-serving services Solid understanding of machine learning and deep learning concepts, with production deployment experience Nice to have: Experience with PyTorch and/or TensorFlow Familiarity with distributed data processing (Spark, Kafka, Flink) Experience with distributed data platforms and large-scale data processing