Machine Learning Engineer

2 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

MACHINE LEARNING ENGINEER

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our engineering department, you will be responsible for designing, developing, and researching machine learning systems, models, and schemes.

Responsibilities:

  • Creative thinker and problem solver who can roll over sleeves to solve problems on a day-to-day basis
  • Demonstrate flexibility and openness in a dynamic highly technical environment
  • Designing, developing, and researching machine learning systems, models, and schemes
  • Performing statistical analysis and using results to improve models
  • Training and retraining machine learning systems and models as needed
  • Analyzing the use cases of machine learning algorithms and ranking them by their success probability
  • Understanding when your findings can be applied to business decisions
  • Extend existing machine learning libraries and frameworks
  • Identify challenges and technical interdependencies and suggest solutions to address them
  • Teach, mentor, grow, and advise other domain experts, individual contributors, and teams in the organization
  • Work with key customers in assigned areas to address technical challenges
  • Exemplify company values through code, reviews, communications, and processes

Requirements:

  • Bachelor's or master's degree in Computer Science, Data Science, Engineering or related field
  • 5+ years of experience as a Machine Learning Engineer
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
  • Proficiency with Python and R code writing
  • Mid-level Cloud experience AWS/Azure including Azure Machine Learning and AWS Sage Maker
  • In-depth knowledge of mathematics, statistics, and algorithms
  • Excellent analytical and problem-solving abilities
  • Excellent written and verbal English communication skills
  • Experience of working in an offshore software development environment is a plus

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