Careers at Bigabid

Machine Learning\MLOps Team Leader

#li-hybrid Bigabid focuses on solving the key challenge of growth for mobile apps by building Machine Learning and Big Data-driven technology that can both accurately predict what apps a user will like and connect them in a compelling way. 

Our technology operates at a scale well beyond many of the largest Internet companies, processing over 50 TB of raw data per day, handling over 4 million requests per second, and interacting with over a billion unique users a week. 

Our innovative platform is leading-edge with a strong product-market fit. As a result, we're seeing remarkable growth and close to zero customer churn. To support our hyper-growth and continue propelling the growth of some of the biggest names in the mobile industry, we offer a wide range of opportunities for different skill levels and experiences.

We are looking for a team leader to promote machine learning engineering. One who is passionate about building high-quality data products and processes, as well as supporting production real-time performance observability. 

As a Machine Learning Team Leader at Bigabid, you will be involved with Data Science projects from the preparation stage until production and beyond. You’ll be in close coordination with stakeholders and play a major role in driving the business by managing the production models and lifecycle processes, which are the core of our product.

Responsibilities:

Manage a team of highly professional MLE’s - develop worker growth and execution excellence. Who are in charge of:

  • Data wrangling - supporting and building data requirements for data science research as well as model training, validation and testing.
  • Delivering end-to-end ML products - model performance development, training, validation, and testing, as well as version control.
  • Promote engineering best practices - code and model versioning, CI/CD processes, rollout and DRP procedures.
  • Create monitors, alerts, and dashboards - managing model performance in production.
  • Collaborate with our product, data science, and engineering teams to solve problems and identify trends and opportunities.

Requirements:

  • 3+ years experience as a DS/ML Engineer
  • 2+ years experience leading a team of data scientists or engineers
  • High level programming skills in Python and SQL
  • Experience with MPP technologies Spark, Flink, Ray, Dask.
  • Strong critical thinking and analytical skills
  • At least a Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
  • Experience in a similar role - big advantage
  • Experience as a backend engineer or devops engineer - an advantage
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