Sr Machine Learning Engineer - AI

📋 Description

• Fine-tune and train small language models using Hugging Face, TRL, and adapter-based techniques
• Optimize models for efficient inference through quantization, pruning, knowledge distillation, and
• Deploy machine learning models to edge devices, mobile platforms, and local servers while meeting
• Build end-to-end MLOps pipelines covering data ingestion, experimentation, model development
• Establish and maintain model evaluation frameworks, benchmarking processes, and custom test suites
• Monitor production models for accuracy, inference latency, CPU/GPU utilization, and other relevant

🎯 Requirements

• Hands-on experience developing, training, and fine-tuning small language models or other
• Strong knowledge of adapter-based fine-tuning methods, including LoRA, QLoRA, and PEFT.
• Practical experience with model optimization techniques such as quantization, pruning, and
• Experience deploying machine learning models to edge devices, mobile environments, or
• Ability to design and implement end-to-end MLOps pipelines from data ingestion through production
• Experience monitoring machine learning systems in production, including model accuracy, latency

🎁 Benefits

• Remote working opportunity in India.
• Opportunity to work on applied AI, SLMs, model optimization, and production machine learning
• Exposure to edge, mobile, and resource-constrained AI deployment environments.
• Opportunity to work with modern machine learning and MLOps technologies.
• Inclusive and collaborative workplace culture that values diverse perspectives and backgrounds.
• Professional growth opportunities through work on advanced AI engineering challenges.