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Machine Learning (ML) Engineer

Company Description

We are looking for a Machine Learning (ML) Engineer to help us develop state of art NLP and Vision based intelligent application using Machine Learning. You will be tasked to develop models and retraining systems that can be used in a large process. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your goal will be to shape and build efficient self-learning applications.If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!!

To succeed in this position, you must have 4 – 6 years of experience in developing Windows Desktop applications using the below technologies

Job Description

In this role, you will get to:

Development experience with one or more ML/DL frameworks like Tensorflow, Keras, PyTorch Scikit-Learn, MXNet, CNTK and YoLo is mandatory.Expert in Python, with knowledge of at least one Python web framework such as Django, Flask, etc.Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language.Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS.Strong foundation in Algorithms and Data Science theory.

Qualifications

Qualifications:
Our most successful candidates will have:

Bachelor or Master degree in Computer Science, Engineering or a related subjectDeliver production-ready models that can be deployed in the production system.Develop Vision and NLP based machine learning systemsSelect appropriate datasets and data representation methodsTrain and retrain systems when necessaryExtend existing ML libraries and frameworks

Additional Information

All your information will be kept confidential according to EEO guidelines.

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