Position: Machine Learning Scientist (Signal Processing)
Company: SD Solutions
Category: Data Science
Experience required: 5y
English level: upper

On behalf of SKF AI SD Solutions is looking for a talented Machine Learning & Signal Processing Scientist to be part of a strong team of scientists, engineers, and domain experts in pursuit of applied research and development of effective and efficient solutions for real-world Condition Based Maintenance (CBM) problems. As a machine learning and signal processing scientist you will be responsible for proposing and implementing algorithms and iterating on the design until achieving required accuracy and robustness.

You will be:

Own a problem and work on a solution in an agile environment
Proposing novel scientific solutions
Be able to balance between theoretical rigor and timely delivery
Be able to communicate with other teams and understand their problems

Skills & Qualifications:

Highly motivated and positive-attituded person
Knowledge in Fundamental Machine Learning algorithms, both from the supervised and the unsupervised learning area, e.g Random Forest, SVM, K-Means, PCA, etc +3 years
Experience in working with Python and the Data Science stack (Pandas, sklearn, numpy, matplotlib, seaborn) +3 years
Excellent English verbal and written communication skills
Outstanding communication skills with different stakeholders
Self-motivated and eager to learn new topics

Preferable Skills & Qualifications:

M.Sc or Ph.D. in electrical engineering, computer science or any relevant field
Good understanding of fundamentals for statistical signal processing and theoretical machine learning
Familiar with the world of Condition Monitoring and Predictive Maintenance
Proven experience with a Signal Processing
Practical experience working on signal processing and machine learning problems for real world

About Project:

SKF AI - (Previously Presenso) is responsible for developing EnlightAI which provides an AI-Driven Industrial Intelligence solution. The EnlightAI solution uses advanced Artificial Intelligence to provide real-time asset failure predictions based on monitoring sensors’ signal data in the cloud. With its proprietary adaptive algorithms, EnlightAI can analyze sensor behavior, automatically learn how machines behave and use this learning to predict machine failures before they occur.

Last year, Presenso was acquired by Swedish-based SKF, the world’s largest bearing manufacturer with over 45,000 employees.