Principal Machine Learning Engineer (Model Efficiency Optimization)

Everforth Apex Systems
Posted on
Everforth Apex Systems logo

Experience
10 - 15 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Machine Learning Engineer
Job Type
Not specified

Job Description

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
  • Strong 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

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