Machine Learning Engineer

Google is a global technology leader that specializes in internet-related services and products, including search, cloud computing, software, and hardware.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer

Google is seeking a Machine Learning Engineer to join their team in Bengaluru. This role combines technical expertise in machine learning with practical business applications across multiple Google products including Ads, YouTube, Search, and Play. The ideal candidate will have 5 years of experience in data science or machine learning engineering, with strong skills in frameworks like TensorFlow and Scikit-Learn. You'll work on analyzing large datasets, building expert systems, and implementing machine learning pipelines that improve Google's products and services. The role requires collaboration with data scientists, analysts, and program managers to create data solutions that enable informed decision-making. You'll be responsible for improving ML scalability, exploring new technologies, and communicating results effectively. The position offers the opportunity to work with cutting-edge technology at one of the world's leading tech companies, with access to vast computational resources and datasets. Google provides an inclusive work environment and is committed to building a diverse workforce that represents its global user base.

Last updated a month ago

Responsibilities For Machine Learning Engineer

  • Work cross-functionally with data scientists, data engineers and program managers to understand, implement, and deploy machine learning pipelines
  • Improve machine learning scalability, usability, and performance
  • Explore technologies to deliver business benefits
  • Communicate results to peers and leaders
  • Advocate processes, standards, and engineering practices

Requirements For Machine Learning Engineer

Python
Java
MongoDB
PostgreSQL
MySQL
  • 5 years of industry experience in a data scientist or machine learning engineer role
  • Experience with machine learning frameworks such as Tensorflow, Scikit-Learn
  • Experience in design, implementation, and delivery of scalable build/test/release agile software development cycle
  • Experience with data processing and management with RDBMS such as Postgres, MySQL, and big data stacks such as Apache Spark
  • Experience in full-stack development for leveraging machine learning solutions
  • Experience with cloud platforms such as Google Cloud Platform (GCP)
  • Familiarity with front-end development (e.g., D3.js, React JS)
  • Excellent written and verbal communication skills
  • Excellent programming skills in at least one of: Python, Java, Scala, C++

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