Technical Content Engineer - ML & DS

Bengaluru, Karnataka, India | Content | Full-time | COVID-19 remote


HackerEarth is an AI-powered developer assessment software that helps companies to accurately measure a developer’s skills through online coding tests. It takes a skill-based approach to assessment, allowing companies to automatically generate standardized tests based on various skills and then accurately measure the developer’s performance on those skills.

We proudly serve 500+ customers across the globe with many of the fortune 1000 names in the list like Walmart, Amazon, Barclays, GE, Siemens etc. We have assessed more than 1M candidates, support 37 different programming languages, provide 8 different type of assessment techniques and enable assessments across 100+ different skills.

HackerEarth also has a community version of the product that is used by developers all across the globe, to assess their coding skills, become better at it and measure their true potential. They do it by solving coding challenges across different topics/skills and by participating in online competitions/hackathons. We have a thriving community of 6M+ developers.

We are currently looking for an experienced, self-driven, and curious ML Developer to join our passionate and innovative team. As part of a cross-disciplinary team, you will work your magic on large multifaceted and unstructured datasets to tackle a range of challenging problems using statistical and machine learning algorithms. You will have the freedom to provide meaningful insights and explain data models to our clients is appetizing.

At HackerEarth, we also boast of a strong community of Machine Learning enthusiasts who have been nurtured through different initiatives. We currently have an active base of 1Lakh+ users from across the globe who visit our platform for Machine learning-related content.

Here are a few initiatives we run:

  • Monthly Machine Learning / Deep Learning Global challenge
  • HackerEarth practice section describing ML fundamentals and problems to solve
  • Recruit library for Machine Learning content
  • HackerEarth’s ML/Deep learning challenges   
  • ML/Data Science/Deep Learning hackathons

To be successful in this role you will have:

  • Knowledge of the Python programming language is a must. Knowledge of R is an added bonus
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • In-depth knowledge of statistics and machine learning algorithms
  • Hands-on experience in solving business problems
  • Exposure to building deep learning models
  • Exposure to AWS
  • Proficiency in using query languages such as SQL, Hive, Pig
  • 6 months to 2 years of experience as a Data Scientist

If you’re looking for an opportunity to take your career to the next level and to really make your mark, we would love to hear from you!!! In return, you can look forward to working with one of the coolest start-ups in the country with a dynamic culture that fosters an environment of positive energy, inclusion, and results.

Part of the recruitment process will involve an online machine learning test. Interested applicants who can dedicate time to this test, please apply to us today!

Roles and responsibilities

  • Translate business problems to be tackled using data science/ machine learning questions
  • Manage the entire data and question creation pipeline for client projects
  • Using appropriate methods (data visualization, summary statistics, etc.) to communicate and explain the data models to clients
  • Using open data sets, create well-defined machine learning and deep learning problems.
  • Drive availability of relevant data, tools, and cloud infrastructure.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience working with and creating data architectures
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Excellent written and verbal communication skills for coordinating across teams
  • A drive to learn and master new technologies and techniques
  • You should be creative, enthusiastic, and take pride in the work that you produce. Above all, you should love to build and ship solutions that real people will use every day

In return, you can look forward to working with one of the coolest start-ups in the country with a dynamic and driven culture that fosters an environment of positive energy, inclusion, and results.