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Machine Learning Engineer

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  • Posted 23 hours ago
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Job Description

Work Level: Junior Leadership

Core: Organized, Disciplined, Problem Solving

Leadership: Delivering Results

Industry Type: Technology & IT

Function: Machine Learning Engineer

Key Skills: Machine Learning (ML)

Education: Graduate

Note: This is a requirement for one of the Workassist Hiring Partners.

Role Description

This is a full-time on-site role for a Machine Learning Engineer. The Machine Learning Engineer will be responsible for tasks such as pattern recognition, working with neural networks, data analysis, and implementation of statistical algorithms in the field of computer science.

Qualifications

  • Experience in Pattern Recognition and Neural Networks
  • Strong background in Computer Science
  • Proficiency in Statistics and Algorithms
  • Experience in data analysis and modeling
  • Knowledge of machine learning frameworks and libraries
  • Strong problem-solving and analytical skills
  • Bachelor's or Master's degree in Computer Science, Statistics, or related field

Company Description

Workassist is an online recruitment and employment solution providing a platform in India. We connect job seekers with relevant profiles to employers across different industries and experience levels. Our e-recruitment technology allows us to quickly adapt to the new normal and assist job seekers in finding the best opportunities and employers in finding the best talent worldwide. We work with many recruiters from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and legal to help them recruit great emerging talents.

For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2.

(Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

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About Company

Job ID: 144859129

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