Senior Machine Learning Engineer
Ā (4+ years exp)NeuranceAI Technologies
Job Location
Job Type
Full TimeVisa Sponsorship
AvailableRemote Work Policy
In officeRelocation
AllowedSkills
Hiring contact
Vikkas GoelThe Role
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2-5 yrs of proven experience in ML, DL, and preferably NLP.
Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.
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š) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.
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š) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
š) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
š) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
š) Expertise in RNN, LSTM, and other neural network architectures.
š) DL frameworks: Tensorflow, Pytorch, Keras
š) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
š) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
š) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
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š) We offer Competitive remuneration.
š) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
š) We offer flexibility to choose your tools, methods, and ways to collaborate.
š) We always value and believe in new ideas and encourage creative thinking.
š) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
š) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
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Step 1: Share your CV and fill the form at https://forms.gle/KDrJPBS6gp8RCPpn9
Step 2: Ace the written evaluation on ML.
Step 3: Meet the founding team and discuss the opportunity