Key Responsibilities:
- Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution
- Work with large, complex data sets and applying advanced analytical methods as needed
- Develop deployable machine learning solutions that address the real root cause
- Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
- Be the partner of choice regarding technology advisory for advanced analytics
- Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-art technologies.
Mandatory Requirements:
- 5 to 8 years of hands-on experience in software development.
- Degree in Data Science, computer science, mathematics or a related field
- Strong programming skills, including Scikit-learn and TensorFlow/Keres.
- Proven experience with solving numerical optimization problems
- Experience with cloud platforms such as AzureML
- Experience working in agile environment
- Team player who is able to communicate and collaborate well with others
- Fluent in English (spoken and written)
- Mechanical, chemical or other engineering background
- Experience working with industrial control systems and Industrial Automation
Good to Have:
- Exposure to other cloud platforms like Azure and open-source cloud components.
- Hands-on experience with Docker, Kubernetes.
Preferred Skills & Attributes:
- Strong understanding of modern software architectures and DevOps principles.
- Ability to analyze complex problems and develop effective solutions.
- Excellent communication and teamwork skills, with experience in cross-functional collaboration.
- Self-motivated and capable of working independently on complex projects.
