Qualifications

Required

Education & Experience

- MS or PhD in Computer Science, Engineering, Mathematics, or related field (PhD preferred)
- 10+ years of experience in Machine Learning / AI, with focus on:
- Model optimization
- Efficient deep learning
- Large-scale model deployment
- Demonstrated track record of contributions to model efficiency (e.g., publications, patents, or industry impact)
- Proven experience optimizing large-scale language and/or vision models for production
- Deep understanding of trade-offs between model quality, size, and inference performance

Technical Expertise

- Deep expertise in model optimization and compression techniques (e.g., quantization, pruning)
- Strong knowledge of efficient deep learning methodologies
- Expertise in Vision-Language Models (VLMs) and multimodal optimization challenges




- Strong programming skills in Python and deep proficiency with PyTorch or similar frameworks
- Experience with distributed training systems and large-scale experimentation workflows
- Solid evaluation methodology for optimized models, including benchmarking, efficiency profiling, and regression analysis

Leadership & Communication

- Recognized technical authority in model optimization or efficient AI systems
- Proven ability to influence technical direction without formal authority
- Strong track record of driving applied research production impact
- Excellent communication skills, with the ability to clearly articulate complex trade-offs
- Collaborative mindset with the ability to align cross-functional teams

📌 Principal Machine Learning Engineer (Model Efficiency Optimization) (Karnataka)
🏢 Everforth Apex Systems
📍 Karnataka