We are looking for a skilled Senior AI ML Engineer to join one of our clients with a global footprint. In this role, you will develop advanced machine-learning models and AI-driven solutions to support the platforms key features. You will play a significant part in creating a powerful multi-modal physical large language model and help shape the companys technical vision.
responsibilities :
Build a scalable data platform to handle large scientific datasets, research papers, and multi-modal training data for LLM fine-tuning
Design efficient data pipelines for data ingestion, preprocessing, feature engineering, embedding generation, vector storage, retrieval, and model training/evaluation.
Implement monitoring, logging, and debugging infrastructure for ML operations.
Ensure reproducible training environments for current and future LLM experiments.
requirements-expected :
5+ years of experience in developing and deploying AI and machine learning models, with a deep understanding of algorithms and data structures
A degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)
High proficiency in Python
Deep understanding and knowledge of database systems, docker and Kubernetes
Deep knowledge of building data platforms that manage large-scale datasets
History of distributed ML training infrastructure management
Solid understanding of system architecture, particularly in building AI-driven systems that are efficient, secure, and scalable
