Machine Learning Engineer

Machine Learning Engineer



Minimum Qualifications

  • Bachelor or master’s degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
  • 12+ years of overall work experience
  • Proven experience as a Machine Learning Engineer or similar role.
  • Experience with algorithms, data structures, data modeling, complexity analysis and software design.
  • Familiarity with machine learning frameworks and libraries
  • Expertise in visualizing and manipulating big datasets
  • In addition to well-developed skills in industry standard software development languages (e.g. java, JavaScript, Node), you should be capable in at least one scripting language (e.g. python).
  • Fair understanding and working knowledge of networking principles, internet fundamentals, Operating Systems, DevOps practices & tooling, Infrastructure basics, cloud operations and application stacks.


Preferred Attributes

  • Experience with algorithms, data structures, complexity analysis and software design.
  • You have a passion for software development and technology.
  • Demonstrated leadership skills and experience working in a collaborative and highly cross-functional organization
  • Using the “Scientific Method” to dig into problems is something you love to do.
  • Strong debugging and analytical skills
  • Ability to prioritize and execute tasks in a high-pressure environment and make informed and sound decisions in crisis situations
  • Strong articulation and stakeholder management skills.
  • Hands on exposure to AI/ML concepts will be a huge advantage
  • Should feel comfortable leading and mentoring engineers through business & engineering challenges
  • You strive to work in a dynamic, changing environment, with large scale applications across the stack.
  • Finally, you must be determined to have fun, otherwise it is just a job.

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