Machine Learning R&D Engineer job opportunity at Welocalize.

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Welocalize Machine Learning R&D Engineer
Experience: 6-years
Pattern: hybrid
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Engineering

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degreeMaster's (M.Sc.)
loacation Noida, India
loacation Noida....India

The Machine Learning R&D Engineer role is responsible for the #design, #development and #implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate cloud services. __ The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals. __ Tasks and Responsibilities: Machine learning model research and development: design, develop and deploy machine learning models for localization and business workflow processes, including machine translation and quality assurance. Utilize appropriate metrics to evaluate model performance and iterate accordingly. __ Ensure code quality, write robust, well-documented, and structured Python code. Define and design solutions to machine learning problems. __ Work closely with cross-functional teams to understand business requirements and design solutions that meet those needs. Explain complex technical concepts clearly to non-technical stakeholders. __ Mentorship: Guide junior team members and contribute to a collaborative team environment. __ Success indicators of a Machine Learning R&D Engineer: Effective Model Development: success is evident when the models developed are accurate, efficient, and align with project requirements. __ Positive Team Collaboration: demonstrated ability to collaborate effectively with various teams and stakeholders, contributing positively to project outcomes. __ Continuous Learning and Improvement: a commitment to continuous learning and applying new techniques to improve existing models and processes. __ Clear Communication: ability to articulate findings, challenges, and insights to a range of stakeholders, ensuring understanding and appropriate.

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