As one of the first members in this new team, you will have the unique opportunity to support recruitment, and onboard, and mentor young talents. Furthermore, you will drive the development of innovative digital solutions in close collaboration with our headquarter and the corresponding business analysts who will oversee our solution portfolio and manage customer interactions and requirements gathering. You will leverage the latest technologies to deliver ML solutions that enhance customer experience, improve operational efficiency, and drive sustainable profitable growth. If youre excited about joining this new team and making a significant impact in the digital space, we invite you to apply

In your new role you will:

• ML Engineering: leverage state of the art ML-methodologies to develop & maintain analytics solutions that deliver superior insights for our internal customers in, e.g., R&D, marketing, quality management, supply chain management and finance.
• Technical leadership: drive technical excellence and innovation within your work and be a role model for younger engineers to ensure best practices in data science, and ML Ops are followed, while staying updated with latest industry trends.
• Project management: drive development and implementation of digitalization use cases, so that they are delivered on time, with high quality and within budget, by effectively managing project timelines and interdependencies with other organizations.
• Technical solution ownership: take technical ownership of your developed solutions, and ensure they meet organizational goals and user requi

Your Profile

You are best equipped for this task if you have:

• A degree in Information Technology, Computer Science , Engineering or a related field
• At least one year of relevant work experience in data science roles or as ML engineer
• Great understanding of digital solutions, advanced analytics, AI/ML (i.e., global time-series forecasting, GenAI)
• and basic software development principles.
• Great proficiency in Python, any additional knowledge of programming languages is a plus (e.g., Scala, Java, Rust), relational and distributed data storages (e.g., Oracle, mySQL, HDFS) and suitable query language(s) (e.g., SQL).
• Great proficiency in DevOps/MLOps including relevant methods and tool

Role: Data Science & Machine Learning - Other

Industry Type: Electronic Components / Semiconductors

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate