Machine Learning Engineer jobs in Bangalore at Treasure Data

Things you will do

Be the Subject matter expert in all things Treasure Data. Equipped with solid knowledge of our Cloud-based Customer Data platform, you will provide the technical and ML expertise to customers towards a successful, scalable implementation.

Help our customers extract the maximum value from their data by building ETL pipelines, deploying ML models and applying Data Science methods that will allow business users to get valuable insights and solve complex real-world business problems.

Ensure ML solutions and ETL pipelines are scalable, efficient, well-documented and easily customizable to different types of data and business use cases.

Guide customers and prospects in best-practices for implementation and architecture of their ML-driven use cases on the Treasure Data platform.

Help research latest technologies and DS methods for building cutting-edge ML solutions and work with our ML team on developing and productizing new solutions.

10-15 % travel is may be required as part of this job

Your Background And Skills Will Include

University Degree in a quantitative discipline - Math, Physics, Statistics, Engineering, or Computer Science.

Deep knowledge and 5+ years of hands-on experience in both SQL and Python, working with Big Data and understanding the limitations and computational efficiency of different SQL/Python functions, methods and data structures.

Comfortable working on team projects and collaborating via version control tools such as GitHub and GitLab.

Solid understanding of data pre-processing and Machine Learning libraries such as Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.

A strong background in data & technology and an extensive track record (3-5 years or more) of successful implementations of Customer focused solutions. Good understanding of Marketing Analytics and the Martech/Adtech Industry a plus.

Have strong customer communication and presentation skills as well as the ability to dive into technical topics and know-how, to successfully work as a trusted advisor to ensure the success of prospects and customers.

Engagement with developers, business analysts, and IT confidently and succinctly and understand how they want to work with data.

When it comes to delivering disruptive solutions to age-old problems, you are the expert. This can be demonstrated by a track record of happy, referenceable customers who appreciate your technical acumen and your diligence. This is a hands-on role â be ready to jump in and use the product from your first day.

We would be thrilled if you

Have an existing portfolio of projects that demonstrate your ability to successfully apply ML and Data Science methods to real-world business problems.
Have a good understanding of Digital Marketing and Marketing Technologies.
Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Apache Spark, MongoDB, etc)
Good understanding of AWS tools - S3, Redshift, EC2 instances, Lambda etc.
Have experience in Digdag, Fluentd, Hivemall or Embulk.
Have wide industry experience across Automotive, retail, media and entertainment, retail, telco/media markets or Ecommerce.