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Job Requirements
JOB TITLE – Machine Learning Engineer – III
Job Responsibilities:

  • 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

Job Requirement:

  • 5+ 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.

Work Experience
Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting below points to full fill this role.

  • Capable of building accurate machine learning models is main goal of a machine learning engineer
  • Linear Algebra, Applied Statistics and Probability
  • Building Data Models
  • Strong knowledge on NLP
  • Good understanding of multithreaded and object-oriented software development
  • Mathematics, Mathematics and Mathematics
  • Collaborate with Data Engineers to prepare data models required for machine learning models
  • Collaborate with other product team members to apply state-of-the art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
  • Build large scale software systems and numerical computation topics
  • Use predictive analytics and data mining to solve complex problems and drive business decisions
  • Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
  • Tackle situations where Problem is unknown and Solution is unknown
  • Solve analytical problems, and effectively communicate methodologies and results to the customers
  • Adept at translating business needs into technical requirements and translating data into actionable insights
  • Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams
  • Mentor and promote 2 or more MLE 1 to MLE II (Promotions to approved by a panel)

Benefits

  • Build your own ideas with a team of innovative and top caliber computer scientists, engineers and ML experts in a fun environment
  • Wok on solving unique and hard problem with data science and machine learning
  • Create world-class products, solutions and cutting edge concepts
  • Work in an Open Space Environment (no cube walls)



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