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Machine Learning Engineer
1 month ago
Bombardier Transportation GmbH is seeking a highly skilled Analyst, Machine Learning Engineering to join our team. As a key member of our data science team, you will be responsible for developing and deploying machine learning solutions that drive business value.
Key Responsibilities:- Collaborate with experienced Machine Learning Engineers to develop and deliver machine learning solutions that meet the needs of our organization.
- Assist in the deployment of ML models within the production data science environment, following best practices, pipeline controls, and maintaining clear documentation.
- Contribute to the development of tools for monitoring the machine learning life cycle and providing observability into the system's execution flow.
- Participate in designing, implementing, and optimizing maintainable and reusable ML services that enhance our data and advanced analytics solutions.
- Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans that positively impact our operations.
- Work on configuring robust environments that handle data and microsystem connections, enabling ML workflows.
- Collaborate with the Artificial Intelligence team members, learning agile project management methodologies (e.g., Scrum, Kanban) and application lifecycle management practices (e.g., test automation, configuration management).
- Engage with users and business stakeholders to gather requirements and feedback to maximize value for our business units.
- Contribute to implementing continuous integration and deployment methods to automate quality assurance and the delivery of new functionality to ML solutions users.
- Provide support for troubleshooting/improving existing ML products.
- Experience and a strong interest in analytics, data science, and computer engineering.
- Familiarity with, and open to gaining experience, using cloud computing platforms.
- Experience using Microsoft Azure's advanced analytics tools (e.g., Azure Data Factory, Azure Databricks, Azure Machine Learning).
- Developed machine learning algorithms before.
- Willing to learn about Docker and software packaging and ML production lifecycle.
- Familiarity with software architecture, and modular software development. Proficiency with Python is a must. Familiarity with PySpark is a plus.
- Familiarity with Linux scripting or PowerShell scripting.
- Interested in agile project management and application lifecycle management, including familiarity with Azure DevOps or Gitlab.
- Strong problem-solving and debugging skills.
- A comprehensive and competitive Benefits Program, which includes insurance plans, retirement savings plan, and Employee Assistance Program.
- A collaborative and dynamic work environment that encourages innovation and growth.
- Opportunities for professional development and career advancement.
Bombardier Transportation GmbH is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
