Data-Driven Decision Maker

2 weeks ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

About the Team:

We are a dynamic and collaborative team that values innovation and creativity. As a Machine Learning Engineer, you will have the opportunity to work with a talented group of professionals who are passionate about machine learning and its applications. You will be responsible for designing, developing, and researching machine learning systems, models, and schemes, and collaborating with cross-functional teams to deliver high-quality solutions.

Responsibilities and Requirements:

  • 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 ML systems and models as needed
  • Analyzing the use cases of ML algorithms and ranking them by their success probability
  • Understanding when your findings can be applied to business decisions
  • Extend existing ML 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

Qualifications:

  • 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

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