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)
Solid 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 productive 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