About this Role: We are seeking a visionary Lead Machine Learning Engineer to architect, guide, and deliver... enterprise-grade ML solutions that drive strategic business outcomes. You will lead cross-functional teams, define technical...
learning infrastructure and MLOps architecture expertise Contributions to open-source data infrastructure projects...About This Role We're seeking an exceptional Data Platform Engineer to shape the strategic direction and architecture...
Learning: Build and deploy ML models using Azure Machine Learning, Cognitive Services, and OpenAI APIs. MLOps: Implement..., and inclusive decision-making. Continuous Learning: We support professional development through certifications, tech talks...
AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge....D. is a strong plus. Required Experience 5+ years overall experience in software development, data science, or machine learning. 1+ year of hands...
AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge....D. is a strong plus. Required Experience 5+ years overall experience in software development, data science, or machine learning. 1+ year of hands...
to design and develop end to end Machine Learning systems. Lead evaluation of design options, tools, and utilities to build... Engineer, you will be part of a high performing team working on exciting opportunities in AI/ML. We are looking for a highly...
, and MLOps integration for scalable machine learning platforms. Preferred Qualifications: Experience in BFSI or FinTech... and accelerator frameworks to standardize data transformation, migration, and validation across Lumi workloads. Engineer fault...
of machine learning, artificial intelligence, observability, and IT operations, collaborating closely with Platform Engineers... machine learning models for big data processing through a multitude of system analysis methods aligning with our design...
, including data structures, machine learning algorithms, deep learning frameworks, statistics, and advanced data analysis... and pipeline architectures of ML and deep learning workloads, and practical application of MLOps principles for managing automated...