Lead Machine Learning Engineer

• Deep-learning depth: architectures built or meaningfully modified from scratch, training-dynamics debugging, or published/research work.
• Probabilistic and Bayesian modeling; time-series beyond the standard toolkit (state-space, hierarchical, foundation models for forecasting).
• Genuine fine-tuning experience (LoRA / PEFT / full) with a clear eval story — and the ability to say precisely what it accomplished over prompting.

Overview

• Industry - IT - Consulting Services / Advisory Services
• Job Role - Machine Learning Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

Job Related Keywords