Senior Big Data/ML Engineer at H1 | Torre
Senior Big Data/ML Engineer
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H1

Senior Big Data/ML Engineer

H1
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Full-time

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

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Remote (anywhere)
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Published over 2 years ago

Requirements and responsibilities

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into actions that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. As a Senior Engineer on the Data Engineering team, you will work alongside a multi-disciplinary team of software engineers, machine learning engineers, product managers, front-end engineers, and designers. You will work on utilizing and/or adapting various types of algorithms to solve challenging business problems in a variety of areas including entity recognition and resolution, natural language understanding, knowledge graphs and information systems. You will also design novel experiments and create implementations to enable model integration into the production stack. Responsibilities: - Build data-based software products that use large amounts of data of various types – structured and unstructured; numeric, text, and graph. These software products will be responsible for ingesting, cleaning, transforming and efficiently storing data. - Build relevant data processing capabilities and optimization workflows to support large-scale learning from such multi-modal data. - Implement analytical models (using techniques from NLP, machine learning, deep learning, etc.) that derive insights from this data. - Implement and scale models and algorithms by incorporating recent advancements in relevant fields of study. This includes adapting, customizing or building upon state-of-the-art AI/ML solutions to support H1’s unique use cases. - Build quick Proof of Concepts (POC) and take ownership around projects to demonstrate utilization and value, and drive to production-ready solutions. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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