backend developer in manufacturing
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Apply machine learning and generative AI models to build end-to-end solutions.
Build MLOps on Azure and GCP and create CI/CD pipelines.
Review AI models, refactor code, containerize applications, and manage deployment, versioning, and monitoring.
Validate AI models and implement test automation and integration.
Collaborate with data scientists, data engineers, business units, UX designers, and IT departments.Требования:Completed studies in computer science, mathematics, physics, or a comparable field3+ Years of professional experienceAbility to design, implement, and maintain cloud-based AI applications on Azure and GCP, including performance and cost monitoring and optimizationStrong experience developing end-to-end AI/ML solutionsAbility to build data and MLOps pipelinesExperience with MLOps frameworks such as MLflow and with KubernetesExperience with Retrieval Augmented Generation (RAG) architectures and production monitoring using LLM Observability platforms such as LangfuseAbility to develop and deploy agentic AI solutions for complex workflow automation and autonomous decision-making using an agent framework such as ADKExcellent Python programming skills and familiarity with scikit-learn, PyTorch, TensorFlow, and related frameworks and librariesStrong conceptual and analytical skillsGood communication skillsHigh degree of initiative and solution orientationFluent in English.Условия:Attractive remuneration based on experience, skills, and developmentExtensive training in the area of responsibilityOpportunity to participate in international projects and influence company IT developmentFlexible
working hours
Private health insuranceFood allowanceSupport for employees with children with disabilities
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