HomeFrontdoor | Jobs | Senior Machine Learning Engineer | BigDataKB.com | 10-02-22

Frontdoor | Jobs | Senior Machine Learning Engineer | BigDataKB.com | 10-02-22

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Job Location: Pune


As a Machine Learning Engineer, at a senior level, you will use machine learning (ML) capabilities to build and/or leverage existing algorithms to learn from data, for the purpose of building models that provide accurate predictions or find patterns with new and unseen similar data. You will use ML frameworks to create and deploy new technologies, identify opportunities to improve products and practices, perform data ETL, statistical and analytical analyses, and communicate insights and recommendations to internal customers. You will lead large and complex projects.


Write production grade code in python and participate in code review sessions

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Write unit test cases

Manage architecture and design

Develop and Deploy RESTFul services in python to expose ML solutions to integrate with other applications

Create training and inferencing pipelines

Data Analysis – Explore and visualize data to gain an understanding of it

Implement complex data validation strategies, feature engineering on a given dataset

Work in highly complex projects with multiple team members using Agile methodology

Independently lead complex projects involving small to medium groups of team members

Collaborate with Data engineers, Data scientists/researchers and other ML Engineers on complex business requirements to develop and deploy ML powered

applications and services at scale on Cloud

Train, help and mentor junior engineers in the team


7+ years of overall expereince in relevant field

Strong analytical, verbal and written communication skills

Good SQL knowledge

Good hands-on coding skills with Python

Ability to write RESTful services in python using Flask or similar framework

Good experience using pandas and numpy libraries

Strong understanding of ML algorithms and concepts

Good exposure and experience with statistical analysis of data

Has experience creating automated feature engineering pipeline using Airflow.

Some exposure and experience with MLOps for Model Tracking, Model Serving

Some exposure and experience with MLOps for identifying Data Drift and Concept drift in a deployed ML Model in production.

Strong Exposure and experience to use Machine learning libraries like scikit-learn, xgboost or similar

Comfortable with Linux

Experience with CI/CD processes using Gitlab

Experience building and deploying solution on AWS or GCP cloud

Ability to write operationally efficient and optimal code

Good understanding of and ability to follow standardized practices and procedures for problem-solving for a diverse range of challenges

Technical and operational proficiency in solving complex problems

Results oriented

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Job Locations IN

ID 2022-2597

Category Engineering

Type Full Time

Company IND Frontdoor India

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