Machine Learning Engineer

Machine Learning Engineer | Hybrid (2 days/week from office) 21 000- 23 000 PLN Employment (UoP+KUP) 20% annual bonus 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