AI/ML Engineer (GCP)

AI/ML Engineer (GCP) Poland Apply now Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.   Tasks: Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment. Working with Data Science, Data Engineering and Cloud teams to implement Machine Learning models into production. Practical and innovative implementations of ML/AI automation, for scale and efficiency. Design, delivery and management of industrialized processing pipelines. Defining and implementing best practices in ML models life cycle and ML operations. Implementing AI/MLOps frameworks and supporting Data Science teams in best practices. Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations. Gathering technical requirements & estimating planned work. Presenting solutions, concepts and results to internal and external clients. Being Technical Leader on ML projects, defining task, guidelines and evaluating results. Creating technical documentation. Supporting and growing junior engineers.   What We're Looking For:   Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures. Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably GCP. Experience in programming ML algorithms and data processing pipelines using Python. At least 4 years of experience in production ready code development. Experience in designing and implementing data pipelines. Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks. Good communication skills. Ability to work in team and support others. Taking responsibility for tasks and deliverables. Great problem-solving skills and critical thinking. Fluency in written and spoken English. Practical experience with other programming languages: PySpark, Scala, R, Java is a plus. Practical experience with tools like AirFlow, ADF or Kubeflow is a plus. Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps) is a plus.