Brainwave Science – Final Job Descriptions

1: Senior AI Engineer – EEG Cognitive Scoring Systems

Location: Delhi

Employment Type: Full-Time

Experience: 4+ Years

Start Date: Immediate Joiners Preferred

About Brainwave Science

Brainwave Science is a deep-tech company building next-generation cognitive AI systems at the intersection of artificial intelligence, neuroscience, biosignals, mathematics, and human cognition.

Our work focuses on developing intelligent systems for:

- Cognitive and behavioral analysis
- Stress and emotional state assessment
- Adaptive AI systems
- Biosignal intelligence
- Applied healthcare and security technologies

We operate in a quick-moving research and product environment where experimentation, originality, and rapid problem-solving are highly valued.

About the Role

We are looking for an experienced AI Engineer to strengthen the machine learning systems that transform EEG signals into cognitive and stress-state scores.

This role is intended for engineers who have personally built, deployed, and maintained production AI systems. Candidates whose experience is limited to academic research, internships, proof-of-concept projects, or model training without production deployment are unlikely to be a good fit.

You will work closely with our biomarker research team to improve model accuracy, robustness, explainability, and production readiness while contributing to AI systems used in real-world cognitive assessment.

Key Responsibilities

- Design, build, and improve machine learning models for EEG-based cognitive scoring.
- Develop robust feature engineering pipelines for physiological signals.
- Improve model robustness against noisy real-world EEG recordings.
- Translate validated biomarker research into production-ready AI systems.




- Evaluate and optimize model performance using rigorous scientific and statistical methods.
- Improve model explainability and support evidence-based engineering decisions.
- Collaborate closely with AI researchers and engineers throughout development.
- Contribute to scalable, maintainable ML pipelines.
- Document important technical decisions, experiments, and implementation details.

Required Qualifications

- 4+ years of hands-on experience building, deploying, and maintaining production machine learning systems.
- Demonstrated ownership of at least one AI/ML system from model development through production deployment, monitoring, and iterative improvement.
- Research-only experience is not sufficient.
- Strong experience with physiological or biosignal data (EEG strongly preferred).
- Strong understanding of feature engineering, model validation, statistical analysis, and model evaluation.
- Excellent Python programming skills.
- Hands-on experience with PyTorch, TensorFlow, or Scikit-learn.

Preferred Qualifications

- EEG signal processing.
- Time-series or multimodal machine learning.
- Explainable AI.
- Scientific computing.
- Experience collaborating with multidisciplinary research teams.

Technologies You'll Work With

- Python
- PyTorch
- TensorFlow
- Scikit-learn
- MNE
- NumPy
- Pandas
- Git
- Signal Processing
- Time-Series Machine Learning

Why Join Brainwave Science?

- Work at the intersection of AI, neuroscience, and healthcare.
- Build production AI systems with meaningful real-world impact.
- Collaborate with experienced AI researchers and neuroscientists.
- Solve challenging biosignal intelligence problems.
- Grow in a collaborative engineering culture focused on learning, innovation, and technical excellence.

📌 Senior AI Engineer – EEG Cognitive Scoring Systems (Delhi)
🏢 Basil Health AI
📍 Delhi