Data Scientist/Machine Learning Offline

The company is a forward-thinking company based in Täby, dedicated to revolutionizing industries through the power of electronic nose technology.

Our goal is to establish app as the global leader in scent detection, creating a future where smell is seamlessly integrated into everyday solutions. Together, we are solving real-world problems, making the world safer, healthier, and more sustainable.

What we is Working On Now:

- Disease Detection and Early Diagnosis

- Environmental Monitoring and Pollution Control

- Food Safety and Quality Control

- Security and Narcotics Detection

- Pest Control and Agricultural Monitoring

- Industrial and Pharmaceutical Quality Control

Friends we are looking for Data Scientist

Job Responsibilities:

• Process, cleanse and verify the integrity of data used for analysis.
• Implement Machine Learning and Deep Learning models.

• Doing experiments with the implemented models, including, train, test, fine tuning, hyper-

  parameter tuning

• • Conduct ad-hoc analyses and present results in a clear manner.
• Enhance data collection procedures to include information that is relevant for building models.
• Working in a team with the ML leader
• Required profile:
• A bachelor or master degree in engineering, computer science, applied mathematics or related field.
• Experience in implementing and running projects in Machine Learning, Deep Learning, Data science, etc.
• Knowledge in machine learning and deep learning algorithms such as, clustering, classification, CNNs, FC networks, regression, time series.
• Knowledge and experience in working with database such as SQL or Oracle.

• Familiarity and experience with (one or two) programming languages and ML/DL tools:

  Python, Java, Pytorch or Tensorflow, scikit-learn, Numpy, Pandas.

• familiarity with (Preferable but not obligatory): hydra, git, aws.
• Experience in execution and training ML models in Cloud environment.
• Experience with software development in Linux environment.
• oral and written communication skills in English.