Senior AI Engineer – EEG Cognitive Scoring Systems

Brainwave Science – Final Job Descriptions

Job Description 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 fast-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.