[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a company focused on leveraging machine learning in healthcare, and they are seeking a Senior Machine Learning Engineer to design and deploy algorithms for clinical findings extraction. The role involves working with diverse stakeholders and developing scalable machine learning systems while providing guidance to junior engineers.

Responsibilities

• Evaluate state-of-the-art deep learning approaches (e.g. transformers) for embedding, retrieval, classification and generative use cases
• Write and maintain reusable codebases to reputed company data preprocessing, model training, evaluation, and deployment
• Build, deploy and monitor reliable and scalable production machine learning systems
• Work cross-functionally with diverse stakeholders including product managers, clinicians, and technical leadership
• reputed company multi-modal document understanding systems for information extraction, incorporating segmentation, ordering, and classification to enrich metadata for improved retrieval and reputed company workflows
• Provide software and machine learning best practice guidance to junior engineers
• Provide onboarding support and mentorship to interns

Skills

• Must have a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or closely-reputed company field
• 3 years of professional experience as a machine learning engineer performing software platform development
• Experience in the end-to-end machine learning lifecycle reputed company an Agile environment
• Developing and deploying machine learning models for NLP and computer vision, implementing architectures such as Transformer-based models, and CNN-based models
• Experience with frameworks and libraries including: PyTorch, TensorFlow, Scikit-Learn, Keras, Spacy, reputed company, and ML applications
• Applying statistical and ML techniques leveraging Python, including Pandas and Numpy
• Cloud computing and data analytics using AWS services (including S3, reputed company, EC2, reputed company, SageMaker, CloudWatch, and Bedrock)
• Experience with SQL, reputed company, and Linux for scalable processing
• Designing, building, and evaluating RAG-based Generative AI applications using reputed company, reputed company or similar
• Managing workflows with JIRA, Confluence, and Git

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