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BASIC

Product Development Engineer – Machine Learning

Hyderabad
Posted on: 06 Oct 2021

Job details


  • NATURE OF JOB Hybrid — WFH / WFO / CW
  • CATEGORY Programming
  • SALARY RANGE Best in the industry Annual
  • EXPERIENCE 1 – 3 Years
  • JOB TYPE Full Time
  • REGIONAL PREFRENCES India
  • NO. OF VACANCIES 1

Job description


Job Requirements Design and implement machine learning, information extraction, probabilistic matching algorithms and models Research and develop innovative, scalable and dynamic solutions to hard problems Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head on Use the latest advances in NLP, data science and machine leaning to enhance our products and create new experiences Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume Be a valued contributor in shaping the future of our products and services You will be part of our Data Science & Algorithms team and collaborate product management and other team members Be part of a fast pace, fun focused, agile team Work Experience 1 years of industry experience PhD/MS/BTech in computer science, information systems, or similar technical field Strong mathematics, statistics, and data analytics Solid coding and engineering skills preferably in Machine Learning (not mandatory) Proficient in Java, Python, and Scala Industry experience building and productionizing end-to-end systems Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc . Benefits Competitive salary for a startup Gain experience rapidly Work directly with executive team Fast-paced work environment Phenom People delivers the Phenom Talent Experience Management (TXM) platform to transform the talent journey from interested candidates to thriving employees to enthusiastic brand advocates, while helping HR break the stereotype of being a cost center instead of a revenue generator.

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