Software Development - Internship
Neuranics Lab Private Limited
We are seeking a motivated Software Engineering Intern to join our Image
Processing and Machine Learning team. The intern will work closely with
engineers and researchers to develop, test, and optimize algorithms for visual
data analysis, sensor fusion, and real-time signal processing.
Key Responsibilities:
1. Develop and implement computer vision and image processing algorithms.
2. Apply machine learning techniques for object detection, tracking, and
pattern recognition.
3. Work with sensor data (e.g., camera, radar, magnetic sensors) and
integrate multimodal inputs.
4. Assist in data collection, preprocessing, and model evaluation.
5. Collaborate with cross-functional teams to prototype and test ML-driven
applications.
Required Skills:
1. Proficiency in Python and familiarity with libraries like OpenCV, NumPy,
PyTorch, or TensorFlow.
2. Strong understanding of image processing and machine learning
fundamentals.
3. Experience with data analysis and model training workflows.
4. Good problem-solving ability and eagerness to learn new technologies.
Preferred Qualifications:
1. Coursework or project experience in computer vision, signal processing, or
deep learning.
2. Familiarity with Git, Linux, and version control workflows.
3. Knowledge of embedded systems or edge AI is a plus.
What You'll Gain:
1. Hands-on experience with real-world ML and vision applications.
2. Mentorship from experienced engineers and researchers.
3. Exposure to cutting-edge sensing technologies and AI pipelines.
Required Skills
About Neuranics Lab Private Limited
Neuranics Lab is working on building a platform to enable AI for micro- imaging, for faster turnaround time for diagnostic tests.
Job Summary
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