Intern (Trainee) - Python Programmers /Aspiring Data Scientists (AI for Mental Health)

20 hours ago

jammu and kashmir, India TerraBlue XT Full time

Duration: 6 monthsLocation: Bangalore / Hybrid (onsite preferred)Stipend: ₹ 10,000 per monthBonus: ₹ 30,000 paid quarterlyStart Date: ImmediateTerraBlue XT is a deep-tech neuro-AI company at the forefront of mental-health innovation, combining physiological signals, behaviour data, and advanced AI to decode the human mind.We are inviting applications for an elite trainee role—for those who live and breathe Python, dream in algorithms, and aspire to build AI that changes lives.This is not an entry-level internship. You’ll be working on real-world, production-grade systems that blend neuroscience, psychology, and data science.What You’ll Work OnDesigning and implementing novel algorithms for physiological signal analysis, mental-health inference, and cognitive modelling.Building scalable data pipelines for multimodal datasets (time-series, biosignals, behavioural logs).Optimizing machine learning workflows using AWS (Lambda, SageMaker, S3, EC2) and containerized environments.Contributing to internal R&D projects—prototype, test, and benchmark algorithmic models for detection, prediction, and personalization.Collaborating with psychologists and neuroscientists to translate models into interpretable metrics.Applying modern analytics tools for feature engineering, correlation analysis, and explainable AI.Required Skills & ExpertiseStrong command of Python, with demonstrable experience in algorithmic programming, OOP design, and data-intensive workflows.Deep familiarity with NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, matplotlib/Plotly, and model-optimization techniques.Ability to design, validate, and optimize custom algorithms (signal processing, statistical models, ML pipelines).AWS expertise – hands-on with SageMaker, Lambda, EC2, S3 and deployment pipelines.Working knowledge of analytics tools (e.g., Tableau, Power BI, Looker or Plotly Dash for custom dashboards).Exposure to MLOps / DevOps workflows, version control (Git), and collaborative R&D projects.Intellectual curiosity about AI for mental health, neuroscience, and affective computing.Bonus Points ForPrevious work on biosignals / time-series / physiological data (e.g., EDA, HRV, EEG, PPG).Experience developing and deploying microservices or Python APIs.Familiarity with mathematical modelling, optimization or advanced data structures.Contributions to GitHub or Kaggle in AI/ML projects.What You’ll GainA direct role in developing algorithms that will power next-generation mental-health AI systems used in defence, clinical, and corporate sectors.Mentorship from leading experts in AI, data science and psychology.Exposure to end-to-end R&D cycles — from signal acquisition to real-time cloud analytics.Certificate of excellence + priority consideration for full-time roles.How to ApplyApply on Linkedin your CV giving your GitHub link, and a short cover note (200 words max) describing an algorithm or project you’ve built that you are most proud of — preferably related to AI, health, or human data.

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