Data Scientist - Artificial Intelligence/Machine Learning (3-5 yrs)

Responsibilities :

- Build predictive maintenance / prognostics products for different types of medical devices. A few examples of the problems that you will be solving:

- Reduce unplanned downtime for medical devices

- Reduce mean time between medical device failures

- Improve patient safety

- Increase device utilization and efficiency

You will own the complete end-to-end ML workflow :

- Learn about domain: Understanding different types of medical devices

- Conduct EDA on messy unstructured operational (non-patient) data from medical devices

- Determine the right ML techniques that can applied on the available datasets

- Cleanse and prepare data for ML

- Train ML models and maintain models across life cycle

- Collaborate with others to deploy, monitor, and manage ML models in production

- Explore new as well as existing different AI techniques for given problem

Requirements :

- The ideal candidate is an experienced Data Scientist highly skilled in Python programming

- SQL and other query languages

- Training, deploying, and managing the complete lifecycle of ML models for predictive maintenance / prognostics and condition-based maintenance

- Analyzing and preparing complex messy unstructured data for ML

Minimum (must-have) :

- 3+ years' work experience developing production-grade ML models for predictive maintenance

- 2+ years' industry experience training ML models for condition-based maintenance

- In-depth knowledge of different ML algorithms, frameworks, libraries, and related tools

- Excellent exploratory data analysis, data cleansing, data prep and feature engineering skills

- Strong knowledge of statistics and time series data analysis

- 2+ years' work experience using Python and SQL

- Bachelor's Degree (in computer science, Information Science, AI specializations) from a tier I college with very good academic background OR

- Master's or Ph.D. in Math, Statistics, Computer Science, or another quantitative field

Plus (not a must-have but desirable)

- MLFlow, KubeFlow

- Spark Mllib

- Cassandra, Vertica, Delta Lake

- Knowledge of Gen AI techniques