Product Development Engineer Machine Learning Job In Phenom People In Hyderabad / Secunderabad, Telangana, India

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Job Details
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
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Candidate Profile
Phenom People is looking for Phd.

Phenom People is looking for Phd profile candidates.

Short Job Information


Job Title : Product Development Engineer Machine Learning
Company Name : Phenom People
Job Location : Hyderabad / Secunderabad, Telangana, India
Education : Phd
Category : Computers / IT
Experience : 1 ( years )
Post Date : 18 March, 2023
Last Date : 09 June, 2023
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