At Sensemore, we are enthusiastic about finding out new technologies, and we are looking for a team member who has this passion for learning and has a sense of responsibility. You will be working with our friendly team in the Magnet Office in ITU Maslak who’s looking forward to you exchanging their ideas.

Responsibilities

  • Supporting the existing ML/AI projects
  • Designing, training and verifying machine learning models
  • Generating synthetic data from real-world dataset
  • Prototype new technologies to create proof of concept projects

For this position what we are looking for;

  • A 4th-grade student in Computer Science, Engineering, Mathematics, Physics or a related discipline
  • Experience on digital signal processing, machine learning, AI and data analytics
  • Excellent understanding of machine-learning, clustering and classification techniques, and their algorithms
  • Strong programming skills in Python with model training, data analysis and visualization for massive amounts of data
  • Experience on Python scientific packages and frameworks such as Pandas, Scikit-learn, SciPy, NumPy, Jupyter, TensorFlow, Keras etc.
  • Experience on Python visualization packages e.g. Matplotlib, Seaborn
  • Familiarity with version control tools e.g. Git
  • Proficiency in Linux environment
  • Have experience of Jupyter notebook/lab environment
  • Theoretical background on Deep Neural Networks
  • Fluent professional-level English
  • Holistic thinking and problem-solving skills
  • Enthusiastic for development and learning

It’s not required, but preferred, that you have:

  • Knowledge on Digital signal processing
  • Experience on time series forecasting and time series analysis
  • Experience on data clustering for signal applications
  • Knowledge on Matlab, C++
  • Experience on Kaggle contest
  • Practice on Cloud Platform’s machine learning Solutions (AWS Sagemaker)
  • Experience on one of the deep learning frameworks (e.g. TensorFlow, Keras or PyTorch)

Apply for this position

Allowed Type(s): .pdf, .doc, .docx