Melexis
Job title:
Data Scientist
Company
Melexis
Job description
Data ScientistArtificial IntelligenceEmployeeIeperYour future jobMelexis is a global microelectronics engineering company that specialises in the design and development of integrated circuits. Innovation, collaboration, and continuous improvement are at the heart of Melexis’s operations. The Data Science team at Melexis plays a crucial role in driving efficiency, quality, and automation across various departments. As a Data Scientist at Melexis, you will have the opportunity to work on cutting-edge projects, collaborate with talented engineers, and make a significant impact on the company’s success.More specifically, you will
- Develop and implement machine learning models to address complex challenges in semiconductor testing, production, and other areas.
- Collaborate with cross-functional teams, including product engineers, test engineers, and application engineers, to identify opportunities for AI and machine learning solutions.
- Utilise advanced data analysis techniques and tools, such as Spark and Python, to process and manipulate large datasets.
- Contribute to the development of training materials and educate colleagues on AI and machine learning concepts.
- Stay abreast of emerging trends and advancements in the field of AI and machine learning.
- Integrate ML models into various products and platforms.
- Use generative AI to improve our workflows, enhance efficiency, and drive innovation across the organisation.
- Assist in the deployment and monitoring of machine learning models in production environments.
Your profile
- PhD or Master’s degree in a relevant field (Physics, Mathematics, Statistics, Computer Science, etc.) with a strong foundation in data science and machine learning.
- Practical experience in developing and implementing machine learning models, preferably in a manufacturing or industrial setting.
- Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, and scikit-learn.
- Experience with cloud computing platforms (Google Cloud Platform or AWS) and big data processing tools (Spark).
- Excellent problem-solving, analytical, and communication skills.
We offer
- a challenging job in a dynamic high-tech international environment
- the opportunity to take ownership of your professional passion in order to contribute to the success of the company
- an enjoyable, team-oriented and professional atmosphere in a flat-structured organization
- versatile development opportunities
Diversity & InclusionMelexis is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, colour, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.About MelexisInspired by a passion for technology and engineering, Melexis designs, develops and delivers innovative micro-electronic solutions. They enable designers to turn ideas into applications that support the best imaginable future. The company’s advanced mixed-signal semiconductor sensors and actuators integrate sensing, driving and communication into next-generation products and systems. They improve safety, raise efficiency, support sustainability and enhance comfort.Melexis is a world leader in automotive sensors. Today, on average, every new car produced worldwide contains 18 Melexis chips. Melexis uses this expertise to serve other markets as well: alternative mobility, smart appliances, smart buildings, robotics, energy management and digital health.Melexis is headquartered in Belgium and employs over 2000 people in 18 locations worldwide. The company is publicly traded on Euronext Brussels (MELE).
Expected salary
Location
Ieper, West-Vlaanderen
Job date
Thu, 07 Nov 2024 07:09:25 GMT
To help us track our recruitment effort, please indicate in your email/cover letter where (jobsineu.net) you saw this job posting.