Technical Apprentice

WorldlinkFrisco, TX
Onsite

About The Position

WorldLink is seeking AI/ML Engineers, Data Analysts, Business Analysts, Full Stack and Technical Program Managers to join our Technical Apprentice Program. This program offers the opportunity to work on real-life projects and contribute to the next generation of innovations in areas ranging from AI/ML to next-generation communications. WorldLink fosters a collaborative, respectful, and fast-paced startup cultural environment where employees are encouraged to dream, do, experiment, and continuously improve. We value our employees and are committed to their growth and career advancement, emphasizing a team-first, competitive, yet humble and ambitious approach to tackling tough problems and new challenges.

Requirements

  • Masters Degree required, in engineering or similar technical field.
  • 0-1 years’ work experience or academic projects.
  • Proficiency in programming languages such as Python or R, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Basic skills in SQL or Tableau, with willingness to ramp up.
  • Knowledge of various technology stacks and engineering roles.
  • Excellent problem-solving skills and attention to detail.
  • Excellent verbal communications and cross-group collaboration skills.
  • Must be able to work onsite daily at WorldLink office in Frisco, TX.
  • Self-motivated individual with the ability to thrive in a team-based or independent environment.
  • Detail-oriented with strong organization skills.
  • Ability to work in a fast-paced environment.
  • Limited supervision and the exercise of discretion.
  • Experienced in managing work with distributed teams.
  • Proven sense of high accountability and self-drive to take on and complete big challenges.
  • Confident, takes ownership, willingness to get the job done.
  • Excellent communication and collaboration skills.

Responsibilities

  • Collaborate with senior data scientists and project managers to understand requirements and deliver solutions that meet project goals.
  • Document all phases of research and development, including data preparation, model testing, and performance evaluation.
  • Present findings and recommendations to technical and non-technical stakeholders in a clear and concise manner.
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