Cloud-Based AI/ML Solutions Developer
1 week ago
You will join our Data Science & AI Competency Center and contribute to bringing AI/ML solutions into production.
- Develop high-performing, scalable enterprise-grade ML/AI applications in the cloud.
- Work 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 tasks, guidelines, and evaluating results.
- Creating technical documentation.
- Supporting and growing junior engineers.
Mandatory skills: Good understanding of ML/AI concepts, types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures. Experience in programming ML algorithms and data processing pipelines using Python. At least 6-8 years of experience in production-ready code development.
Nice to have skills: Practical experience with other programming languages (PySpark, Scala, R, Java). Practical experience with tools like AirFlow, ADF or Kubeflow. Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps).
We offer stable employment, flexibility regarding working hours, full-time position, comprehensive online onboarding program, cooperation with top-tier engineers and experts, unlimited access to the Udemy learning platform, certificate training programs, upskilling support, grow as we grow as a company, diversity, inclusivity, autonomy, create our community together, well-being, and health activities, opportunities to donate to charities and support the environment.
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