Prepare for Your Cloudphysician Healthcare Interview with Real Experiences!
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ML Engineer
Cloudphysician Healthcare
posted 3+ weeks ago
Flexible timing
Key skills for the job
We are looking for a Machine Learning engineering professional who is passionate about building scalable data solutions and inspiring others to learn more.
Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics
Experienced in productionizing ML-models using frameworks such as ML-flow, H2O.ai, sagemaker
Working closely with the other teams (Analytics, Data Science, DevOps and backend teams) in order to ensure successful delivery of etl and data projects
A desire to work in a collaborative, intellectually curious environment
PREFERRED QUALIFICATIONS
2 to 3 years of experience Bachelor s degree in Computer Science/Electronics, Mathematics, or a related field Coding proficiency in python or R Experience with machine learning tools and libraries such as TensorFlow, Scikit-learn, PyTorch.
Experience in building end to end machine learning systems and modules, and deploying the models Proven track record of sharing outcomes through written communication, including an
ability to effectively communicate with both business and technical teams Ability to work with limited supervision Good grasp on Linux/UNIX, bash scripting Strong interpersonal skills and the ability to communicate complex technology solutions
Good to have: Experience working with AWS with a strong understanding of Redshi , EMR, Athena,
Employment Type: Full Time, Permanent
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