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Location

Bangalore | India

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Job description

About OnebyZero:

OnebyZero is a dynamic and fastgrowing AI consulting company based in Singapore. We provide cuttingedge solutions that help businesses transform and thrive in the digital age. Our services blend deep industry expertise strategy technology and datadriven insights to deliver business outcomes. We utilize data artificial intelligence and machine learning to unlock new opportunities and drive growth. Our mission is to empower businesses with innovative Data and AI solutions fostering transformative growth and sustainable success.

As a Data Scientist / Machine Learning Engineer you will play a crucial role in the development and implementation of cuttingedge artificial intelligence products and solutions for our customers. You will be working on a variety of challenging problems involving descriptive diagnostic predictive and prescriptive analytics with customers in different industries such as financial services telecommunications retail and gaming. You will be tasked with building and operationalizing models such as customer segmentation models purchase propensity models recommendation models churn models anomaly detection models timeseries prediction models etc. You may use a variety of algorithms from packages such as scikitlearn statsmodels xgboost tensorflow and pytorch. You ll also use stateoftheart MLOps practices to help evaluate different models manage them and deploy them to production. Finally we are looking for creative thinkers to help us innovate as we work without customers and help develop reusable assets that can work across different customer engagements. Since you ll be working on deploying models in production you are also responsible for upholding a high standard of code quality and writing and maintaining documentation and tests for the code you write and models you develop.

Requirements

Basic Qualifications

• Degree in Computer Science or related field from a top university. Preference will be given to candidates with MS or PhD degrees.

• 6 9 years experience in Machine Learning or similar roles
  

Skills we are Looking For

• Proficiency in data mining and machine learning techniques

• Understanding of basic software engineering design principles and the ability to write clean wellstructured maintainable and testable code

• Experience with Python and its machine learning/data mining toolkits such as pandas scipy numpy scikitlearn prophet xgboost tensorflow and pytorch on Linux

• Experience using data science notebooks like Jupyter

• Good presentation and communication skills and ability to interact with customers.
  

Preferred Qualifications

• Experience with SQL and NoSQL databases

• Experience in working with Big Data systems (such as Databricks Kafka Flink etc.).

• Experience in distributed ML techniques (such as Ray)

• Experience in telecommunications financial services or retail domains

• Experience in other programming languages especially Javascript

• Knowledge of data visualization packages in Python and outside

• Experience in BI tools like Tableau PowerBI Apache Superset etc.

• Have an AWS (or Azure or GCP) ML Certification
  

Benefits

We provide a competitive salary and benefits package a vibrant work environment and numerous opportunities for professional growth. Youll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionize the way companies leverage technology for digital transformation.

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

As a Data Scientist / Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products and solutions for our customers. You will be working on a variety of challenging problems involving descriptive, diagnostic, predictive and prescriptive analytics with customers in different industries such as financial services, telecommunications, retail and gaming. You will be tasked with building and operationalizing models such as customer segmentation models, purchase propensity models, recommendation models, churn models, anomaly detection models, time-series prediction models, etc. You may use a variety of algorithms from packages such as scikit-learn, statsmodels, xgboost, tensorflow and pytorch. You ll also use state-of-the-art MLOps practices to help evaluate different models, manage them and deploy them to production. Finally, we are looking for creative thinkers to help us innovate as we work without customers and help develop reusable assets that can work across different customer engagements. Since you ll be working on deploying models in production, you are also responsible for upholding a high standard of code quality, and writing and maintaining documentation and tests for the code you write and models you develop.

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