5+ years of experience in Machine Learning with expertise in unstructured data analysis, Proficiency in MATLAB, proficiency in AI systems, and knowledge of several programming languages.
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Entefy is an enterprise AI software and automation company. Entefy's multisensory AI technology delivers on the promise of the intelligent enterprise, at unprecedented speed and scale (think 15,000x performance improvement to Entefy customers).
Entefy products and services help organizations transform their legacy systems and process—everything from knowledge management to workflows, cybersecurity, data privacy, customer engagement, forecasting, and more.
Entefy’s customers vary in size from SMEs to $100+ Billion US and global public companies across a number of industries including financial services, health care, retail, and manufacturing.
With 250,000 hours invested in advanced R&D (including contributions from more than 100 scientists and engineers), Entefy has created a rich IP portfolio spanning 100s of trade secrets and patents combined.
Get started at www.entefy.com.
Entefy’s Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction.
Skills and Experience:
We’re not looking for “good.” Entefy is on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.
Requirements
5+ years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clustering.
Demonstrable expertise in MATLAB.
Proficient knowledge of and experience with AI systems.
Demonstrable expertise in multiple programming languages such as Python, C++, Java, etc.
Fluency in English and, at least, 1 other language.
Masters or PhD in Computer Science in Machine Learning or related field preferred.
Proficiency in Machine Learning open source tools.