Machine Learning Engineer Intern

Location: Bangalore

Type: Full Time

Duration: 6-month Internship

Job Overview

ARTPARK is offering an exciting 6-month internship opportunity for passionate students to join our Bangalore-based team. We build advanced sensor ecosystems for autonomous and robotics applications. We focus on cutting-edge technology and believe in empowering talent to grow with us.

Key Responsibilities:

  1. Analyse time-domain sensor data; extract noise signatures and basic stats (mean, PSD, SNR).

  2. Develop and maintain Python scripts (pandas, NumPy) for data loading, cleaning, and splitting.

  3. Build baseline prediction models (ARIMA, LSTM, 1-D CNN) using scikit-learn, Keras, or PyTorch.

  4. Tune hyper-parameters (window size, hidden units, learning rate); document results clearly.

  5. Evaluate models via MAE, RMSE, residual analysis; benchmark against simple baselines.

Qualifications:

  1. Pursuing B.E./B.Tech./M.S. in CS, EE, Data Science, or related.

  2. Strong foundation in probability, statistics, and time-series analysis.

  3. Skilled in Python; experience with scikit-learn, PyTorch, or TensorFlow.

  4. Confident with NumPy, pandas, Jupyter notebooks; basic Git knowledge preferred.

  5. Passion for learning and working on real-world sensor data challenges.

About ARTPARK:

ARTPARK @ IISc (AI & Robotics Technology Park) is a unique non-profit (section-8) organisation promoted by the Indian Institute of Science (IISc) to foster innovations in AI & Robotics by bringing together the best of the startup, industry, research, and government ecosystem. It is seed funded by the Department of Science & Technology (DST), Govt.. of India, under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) and the Govt of Karnataka. 

ARTPARK @ IISc is driving advances in robotics, autonomous systems and AI through translational R&D in areas of Intelligent Healthcare, Automation for Logistics and Skilling for the AI age. Our work spans open tools, standards, IP, technologies, databanks and path-breaking companies.

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