Democratizing Recruitment
Job Description

Senior ML engineer

Intelligence and Data
Department Mission
  • To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
  • As a Senior ML engineer your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
Authority
  • Develop models and train them
  • Research on new technologies
  • Participate in recruitment process
Responsibility
  • Investigation and perform appropriate ML algorithms and devices
  • Improve machine learning applications according to conditions
  • Choose proper datasets and data representation systems
  • Analyze and modify data science prototypes
  • Design machine learning systems
  • Implement statistical analysis and fine-tuning using test outcomes
  • Training systems when required
  • Increase existing ML libraries and frameworks
Requirements
  • Master's degree in computer science, math, statistics or a similar field
  • 6+ years of working experience in data science or algo training
  • 2+ years of leading a team experience in AI/ML departments
  • Familiarity with Python, R or Java
  • Experience in machine learning frameworks like TensorFlow or Keras
  • Excellent data modeling and data architecture abilities
  • Strong expertise in Hadoop or other distributed computing systems
  • Familiarity with Agile methodology
Benefits

It's always a good idea to include the benefits of the job the company will provide such as:

  • Flexible hours to give you freedom and increase productivity
  • Life insurance for you and your family members
  • Work remotely in the comfort of your home
  • Free Gym membership so you can stay in shape
  • Fun and Energetic weekly team bonding events
  • etc.

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