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Job Location: Pune
Overview
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.
Responsibilities
Write production grade code in python and participate in code review sessions
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
Qualifications
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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