Machine Learning Research Engineer

Job not on LinkedIn

🕒 March 31

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Logo of NOMA AI

NOMA AI

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $100k Pre Seed Round - NOMA AI on 2024-07

Artificial Intelligence • SaaS • B2B

NOMA AI is a medtech enterprise that builds a real-time AI platform using multimodal clinical data to deliver predictive patient monitoring and risk assessment at the bedside. The company integrates with hospital IT, devices, and electronic health records to provide clinicians with actionable, real-time recommendations aimed at anticipating and preventing complications rather than reacting to symptoms. NOMA AI’s initial product focus is on maternal hemorrhage risk assessment and detection, with plans to expand into additional life‑saving clinical decision support solutions in partnership with clinical experts.

📋 Description

• Participate in developing cutting-edge machine learning and data analytic solutions in healthcare • Participate in the development, research, evaluation, and deployment of machine learning methodologies for real-time clinical decision systems, patient monitoring, and alerting solutions • Achieving long-term and ambitious product development goals while identifying intermediate milestones • Being independent problem solvers while operating in a collaborative environment

🎯 Requirements

• Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent field • Relevant publications • Ability to rapidly iterate and evaluate machine learning methodologies to solve novel problems • Experience working with popular machine learning frameworks, including NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow • Experience working with high-frequency signal and waveform data • Experience with time-series data, high-frequency data, prediction modeling, and imbalanced data • Expert Knowledge of Python • Ability to deliver with limited guidance, working on problems that are not structured • 5+ years of programming experience • Preferred Qualification: Experience with medical data, electronic health records, biosensor data, etc. Experience with real-time environments and model deployment • Experience with major cloud environments and other distributed systems • Interest and experience in software engineering (data pipelines)

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities

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