ONYX COMPONENTS AND SYSTEMS PVT LTD
Website:
onyxindia.com
Job details:
We’re Hiring: Technical Application Development Intern (Data Science & ML)
Hyderabad | 6 Months Full-Time Paid Internship | Potential Full-Time Opportunity
At ONYX Components and Systems Pvt Ltd, we are building the future of AI at the edge—bringing ultra-low-power intelligence into real-world electronic systems across industries like automotive, IoT, industrial automation, healthcare, and consumer electronics.
If you're passionate about AI, embedded systems, and solving real-world problems, this is your chance to work at the intersection of data science + hardware + product innovation.
What You’ll Work On
- Develop and optimize lightweight ML models for edge deployment (audio, anomaly detection, motion sensing)
- Work on real-world data from sensors—cleaning, preprocessing, and feature engineering
- Support model optimization and deployment on edge AI hardware platforms
- Build proof-of-concepts (PoCs) and contribute to live customer applications
- Collaborate with embedded engineers, application teams, and product teams
- Create Jupyter notebooks, demos, and developer documentation
Who Should Apply
- Final year students or recent graduates in Computer Science / AI / ML or related fields
- Strong understanding of ML fundamentals, data preprocessing, and model evaluation
- Hands-on with Python and libraries like scikit-learn, TensorFlow, or PyTorch
- Exposure to classification, regression, or time-series analysis
Bonus Points If You Have
- Experience with TinyML / Edge AI platforms
- Understanding of sensor data applications (IoT, predictive maintenance, smart audio)
- Knowledge of model compression, quantization, or real-time inference
- Exposure to embedded AI systems (MCUs, DSPs, accelerators)
What You’ll Gain
- Work directly on cutting-edge edge AI technologies
- Mentorship from industry experts in AI + embedded systems
- Hands-on experience building real products, not just models
- Exposure to customer-driven innovation across industries
- A full-time opportunity based on your performance
Click on Apply to know more.