Railofy - Machine Learning Engineer - Python/Numpy/Pandas (2-10 yrs)

ML Data Engineer, Railofy

About the Team & Role:

Railofy is solving the largest problems for Indian Railway passengers (90% of Indians travel by trains) - waitlisted tickets and quality of food in trains. We are a young team of technologists who have made a significant breakthrough in this field using Machine Learning, in order to create a major impact in the lives of Indians.

ML Data Engineers at Railofy lead all the processes from data collection, cleaning, and preprocessing, to managing the infra and deploying models to production. The ideal candidate will be passionate about big data and stay up-to-date with the latest developments in the field.

The Data Science team works on proprietary data sets (tabular) building classical machine learning models & recommendation systems.

What will you get to do here?

1. Understanding and building expertise in the domain

2. Managing available resources such as hardware, data, and personnel so that deadlines are met

3. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

4. Verifying data quality, and/or ensuring it via data cleaning

5. Supervising the data acquisition process if more data is needed

6. Defining validation strategies

7. Defining the preprocessing or feature engineering to be done on a given dataset

8. Defining data augmentation pipelines

9. Training models and tuning their hyperparameters

10. Deploying models to production and monitoring production systems

What qualities are we looking for :

1. Proficiency with Python and libraries for machine learning such as scikit-learn, pandas, numPy, matplotlib, seaborn and keras/tensorflow

2. Proficiency with PostgreSQL, ElasticSearch, Kibana, Redis and Big Data technologies

3. Proficiency with Cloud computing on AWS using services like EC2, S3, ECS, Lambda and RDS

4. Expertise in visualizing and manipulating big datasets

5. Ability to select hardware to run an ML model with the required latency at scale

6. Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms

7. 5-10 years of data science experience

8. You love coding like a hobby, strive to code in a clean and structured manner with time and space complexities in mind and are up for a challenge!

9. Motivation to join an early stage startup should go beyond compensation

Location: Mumbai/Remote