Job Description

• Understand the objectives of the business and develop Machine Learning (ML) models using TensorFlow that will help in achieving them, along with metrics to track their progress • Solve a given problem through the use of TensorFlow and rank them based on success probability design, implement, and evaluate Machine Learning pipelines • Analyze data and formulate modeling approaches • Develop, test, Deploy and maintain software projects
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Qualifications

• Must have BA/BS in a technology, engineering, computer science or related discipline. • Proficiency with a deep learning framework such as TensorFlow or Keras. • Master's degree in Computer Science or equivalent practical experience.. • Experience with machine learning, natural language processing, data science, or other related fields. • Experience with scripting languages such as Python. • Demonstrated analytical thinking through data-driven decisions. • Demonstrates exceptional programming skills and be willing to code full time; takes responsibility for implementing finished products based on designs developed Preferred Skills: • Concepts of computer science and software engineering • Data analysis and feature engineering • Metrics involved in ML and TensorFlow • ML algorithm selection, and cross validation, mathematics and statistics

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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