Machine Learning Engineer
Location : Bangalore
Experience : 3 Year
Rate: $12 / Hourly
Availability : Immediate
Work From : Offsite
Category : Information Technology & Services
3+YearsMachine Learning Engineer
Summary : Data Scientist with 3+ years of proven experience in architecting applications with algorithms, Artificial Intelligence, Machine Learning Python with libraries such as Sklearn, Numpy, Pandas, Matplotlib, Flask, SQL, PowerBI for Data Visualization. Dedicated performer who demonstrates innovation, communication, and teamwork to ensure quality and timely project completion.
Technical Skills:
Languages:
Python, C
Framework:
Tensorflow,Keras,ScikitLearn,Pytorch
IDE:
Jupyter,AzureMLStudio,VSCode
Web Services
REST , SOAP
Operating Systems:
Windows, Linux
Database:
SQL
Application Servers:
Azure,AWS
Project Experience: -
Project 1
MarketShare
Description:
Projects related to hair care brands and non-hair care brands were focused on projects related to how much percentage of products were sold in the market. finding the Brands, Variants, Category and size detection of different products.
The Project related to the recommendation of different products based on the available base pack.
In this project we have implemented the models to classify the products and their brands classification
Responsibilities:
Team Size:
5
Project Duration:
13 Months
Project 2
Crest BigCommerce Implementation
Description:
Project related to crest website where the focus of this project related to providing dental and oral products. Maintain all product details and provide the articles about the oral care. Have created the scripts for Blogs, Articles, Products and their Categories. Bulk importing of data from various source systems.
As per business requirement, implemented extensive Scripts and API calls to fetch the Data from their respective backend.
Responsibilities:
Team Size:
7
Project Duration:
8 Months
Project 3
Job Card Creation
Description:
In this project, we are using CRM tools to develop this project. Their number of modules are communicated internally and provide a full solution for Vehicle management. There we can store whole data about our customers as well as our products. Implemented as client required with application. Ensure that the company's customer database is properly entered and kept in a way that whenever any information is needed in the future, it can be easily accessed.
Respond to inquiries and queries from customers and provide a thorough and speedy resolve. Handle complicated and unsolved issues from less experienced personnel.
Participating in preparing SQL queries, writing SQL functions and Query for preparing reports and implementing them into CRM modules and trying to give the best solution to our implementer, clients etc.
Responsibilities:
Team Size:
6
Project Duration:
9 Months
Project 4
Intelligent Document Processing System
Description:
Develop the Image Classification Model using Computer Vision Model. Develop Azure Form Recognizer and Object Detection Model for each and every Form. Train Each Model with at least 1000 Images
Develop Azure Lake Storage for TIF images and model output storage.
Develop ADF pipelines to complete the result of models and send to Kafka endpoint and data lake storage
Responsibilities:
Team Size:
6
Project Duration:
10 Months
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