Machine Learning Engineer

5 days ago

Bengaluru, India Ai Health Highway Full time

Company Description

Ai Health Highway is a global team of medical professionals, signal processing engineers, data scientists, and clinicians. The company is AI-first and focused on making screening of chronic diseases cost-effective at the primary care clinic. This approach aims to improve patient outcomes and accessibility to healthcare services.

We are backed by Turbostart, Rainmatter by Zerodha, The Chennai Angels, Social Alpha, Foundation for Science, Innovation & Development (FSID) IISC and many other prominent angel investors. AiSteth is one of the 27 most promising ML startups selected for AWS ML Elevate 2022 program by Amazon, Intel, Accel & YourStory. We are also the winners of the PHC Tech Challenge 2021 award organized by PATH.

Goal - Our Goal is to reduce 30% premature deaths due to #NCDs by 2030.

Role Description - ML Engineer (Bangalore / On-Site)

- Work closely with the Product leader to define product/platform vision
- Interface with Client ML and Business teams to demonstrate thought leadership, and drive delivery of products and solutions
- Conduct original research on large proprietary and open source data sets
- Identify, research, prototype and build predictive models
- Create framework for AI/ML code deployment to ensure robustness and reliability of production ready models
- Responsible for understanding industry processes and incorporating them in the solution
- Be responsible for measuring and optimizing the quality of your algorithms
- Collaborate with engineering teams, platform teams to drive vision for AI/ML platform

Qualifications

- Minimum 2-3 years of experience working in similar field/ domain.
- Advanced degree in Computer Science, Signal Processing, Data science, Biomedical Engineering, AI/ML
- At least one core programming expertise, such as python (Tensorflow, Keras, Pytorch, Signal Processing packages etc.), R, Scala
- Strong statistical knowledge, analytical and problem-solving skills, intuition and experience applying machine learning models to real world data
- Strong project management skills to execute multiple projects in parallel
- Experience in deploying production ready ML code.
- Experience with knowledge graphs, optimization, decision theory or signal processing
- Interpersonal skills: good verbal and written communication skills, cross-group and cross-culture collaboration.
- Understanding of Algorithms and Machine Learning principles
- Experience with healthcare data analysis is a plus

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