Machine Learning Intern

About the company : Website

Launched in 2015, PharmEasy is a consumer healthcare “super app.” Started with the sole purpose

of making healthcare accessible and affordable to all, PharmEasy today is India's leading and most trusted online healthcare aggregator in the country.

We provide on-demand, home-delivered access to a wide range of prescription pharmaceuticals,

Tech-enabled Hospital Supplies Procurement India’s Largest Online Pharmacy Marketplace. One of India’s Largest Pharma Platform, connecting Pharmacies with Distributors India's Largest Diagnostics Test Provider by Volumes diagnostic test services, OTC pharmaceuticals, and other consumer healthcare products, thereby serving your healthcare needs. Through our services, we ensure access to the best and most genuine health products, with the highest savings in the shortest time. Today, we deliver medicines in 1000+ cities in India, covering 19000+ pin codes. We offer diagnostic test services across Mumbai (including Thane, Navi Mumbai, Kalyan & Dombivli), Delhi (with Noida, Gurgaon, Faridabad & Ghaziabad), Chennai, Pune,

Ahmedabad, Gandhi Nagar, Surat, Vadodara, Lucknow, Kolkata, Hyderabad, Bengaluru, and Jaipur.

Function :

Data Science and Analysis → Data Science / Machine Learning / Artificial Intelligence.

Internship type

: Unpaid Internship.

Duration : 3- 6 months

Location

: Benguluru, Karnataka

Role Details :

We are looking for an exceptional Machine Learning Intern to join our team. You will work on a variety of problems such as personalization, optimization, user intelligence, predicting diseases and outbreaks. You will work with a team to come up with new and interesting hypotheses, test them, and scale them up to huge data sets with a large number of data points. Above all, your work will impact the way health care is distributed in India.

What you'll be doing :

Apply machine learning, collaborative filtering, neural networks and deep learning methods to our growing data set.

Strong knowledge & skills in Python.

Prototype new algorithms, evaluate with small scale experiments

Collaborate with a team of software engineers to build new product features

Help drive optimization, testing and tooling to improve data quality

Build a platform to support all our machine learning and AI problems

Build tools that recommend medicines, predict disease outbreaks and predict a patients health conditions.

Minimum qualifications

Bachelor’s degree in Computer Science, Machine Learning / Artificial Intelligence, Engineering, or a related field.

You have good skills and knowledge in implementing machine learning systems at scale in Java, Scala, Python or similar (not just R or Matlab)

You have a strong mathematical background in statistics and machine learning.

There are a few extra things that will lift you up a couple of notches in our eyes :

You have skills with any one of the following data processing and storage frameworks : Hadoop, Scaling, Spark, Storm, Cassandra, Kafka.

You have good knowledge in open source platforms and can share that with us.