
Senior ML Engineer
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in United States.
β’ Design, construct, and deploy scalable machine learning models for OCR, document comprehension, and voice processing.
β’ Research and implement algorithms to extract structured data from unstructured documents and audio sources.
β’ Optimize and refine models to ensure real-world performance and dependability.
β’ Collaborate with product, data, and engineering teams to integrate machine learning solutions into production workflows.
β’ Analyze model outputs, conduct error analysis, and rapidly iterate based on results and feedback.
β’ Document methodologies, experiments, and best practices.
β’ 3β9 years of experience in machine learning engineering or research.
β’ Demonstrated experience in developing and deploying machine learning solutions for OCR, NLP, document processing, and/or speech/voice technologies.
β’ Proficient in Python and machine learning frameworks such as TensorFlow or PyTorch.
β’ Solid understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.).
β’ Experience with cloud platforms (AWS, GCP, or Azure) and scalable model deployment (Docker, Kubernetes).
β’ Capability to analyze large datasets, develop metrics, and troubleshoot complex machine learning pipelines.
β’ Excellent problem-solving, communication, and teamwork abilities.
β’ Willingness to work on-site in Bengaluru or NYC.
β’ The chance to tackle mission-critical challenges that affect millions.
β’ A collaborative, high-growth environment with a team of experts.
β’ Competitive salary and comprehensive benefits package.
β’ Centrally located modern office in Bengaluru or NYC.
NVIDIA
SentiLink
SentiLink
Leega
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