Machine Learning and Signal Processing Engineer

Neurostellar

2 - 5 years

3 - 7 Lacs

chennai

Posted:6 days ago| Platform:

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Skills Required

analytical skills training deep learning eeg machine learning signal processing manager technology deployment signalling python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We re looking for a

curious and enthusiastic Machine Learning & Signal Processing Engineer

who s excited to work at the intersection of

health, technology, and innovation

You ll join a team that thrives on exploration turning real-world signals into meaningful insights that drive the next generation of health-tech solutions.

Requirements

Hands-on experience in biosignal processing, preferably EEG and ECG (experience with PPG/HRV is a plus).
Strong understanding of signal processing techniques: filtering, ICA/PCA, wavelets, and feature extraction in time, frequency, and time-frequency domains.
Good conceptual knowledge of linear algebra, probability, multivariate statistics, and optimization.
Practical experience applying Machine Learning and Deep Learning for biosignal applications, including both classification and regression models.
Proficiency in Python and ML/AI libraries such as scikit-learn, TensorFlow/PyTorch, Pandas, NumPy, MNE.
Familiarity with cloud-based platforms (Google Colab, AWS, Azure) for training, testing, and deploying ML/AI algorithms.
Experience in real-time biosignal processing pipelines for wearables or neurotech devices is a plus.

You should also ....

Work collaboratively with the business team as they provide and refine the requirements.
Be self-motivated, able to work independently with minimal direction, and be team-oriented with the ability to communicate to a wide variety of audiences.
Strong analytical skills and strong decision-making capabilities.
Hugely passionate and curious to work on deep technology.

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