Design ML pipelines for experiment management, model management, feature management, and model retraining, and design APIs for model inferencing at scale
Job Summary
Design ML pipelines for experiment management, model management, feature management, and model retraining, and design APIs for model inferencing at scale.
Possess deep knowledge of GPU architectures and expertise in distributed training and serving of large language models.
We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
Matching Summary
Design ML pipelines for experiment management, model management, feature management, and model retraining, and design APIs for model inferencing at scale.
Skills & Requirements
Must-have
ML pipeline design
LLM serving and GPU architecture
model fine-tuning and optimization
DevOps and LLMOps proficiency
Gen AI, LLM, Huggingface
Python, PyTorch/TensorFlow/Keras
Langchain, Langgraph, Docker, Kubernetes
Nice-to-have
Intellectual curiosity
Teamwork and collaboration
Driving innovation for clients
Making a tangible impact
Supporting employee wellbeing
Key Requirements
8+ years of experience
BE/B.Tech/MBA/MCA degree
Bachelor of Technology or Master of Business Administration degree preferred