Note: The job is a remote job and is open to candidates in USA. NOMA AI Inc. is looking for candidates for a machine learning research engineer position to develop cutting-edge machine learning and data analytic solutions in healthcare. The successful applicant will focus on real-time clinical decision systems and contribute to innovative AI tools aimed at improving maternal health outcomes.
Responsibilities
- 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
- Work on problems that are at the forefront of both industry and scientific research in ML for healthcare
- Researching, developing, and deploying real-time machine learning-based AI tools in healthcare
- Achieving long-term and ambitious product development goals while identifying intermediate milestones
- Being independent problem solvers while operating in a collaborative environment
Skills
- 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
- Have experience in working and collaborating with others on team projects
- Ability to deliver with limited guidance, working on problems that are not structured
- 5+ years of programming experience
- 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)
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