Remote Senior Artificial Intelligence/Machine Learning Engineer - Remote, Latin America

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Description:

  • Bluelight Consulting, a leading software consultancy, is seeking a Senior Artificial Intelligence/Machine Learning Engineer to join their team.
  • The position offers the opportunity to work on challenging and meaningful projects, developing high-quality applications in a fast-paced, dynamic environment.
  • The ideal candidate will have a strong background in computer science or engineering with at least 3 years of experience.
  • Responsibilities include working on machine learning, deep learning, and natural language processing projects, utilizing tools like GPT and LLama3.
  • Proficiency in Python, TensorFlow, or PyTorch is required, along with experience in AI voice programs/products.
  • The role involves managing product specifications from concept to production and optimizing software design principles.
  • Strong problem-solving skills, teamwork abilities, and communication skills are essential for this position.

Requirements:

  • Bachelor's degree in computer science or engineering with a minimum of 3 years of relevant experience.
  • Knowledge of machine learning, deep learning, and natural language processing.
  • Experience with LLMs like GPT and LLama3.
  • Proficiency in Python and familiarity with TensorFlow or PyTorch.
  • Ability to work independently and in a team, with good problem-solving skills.
  • Experience with AI voice programs/products.
  • Proficiency in cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes).
  • Strong communication skills for explaining technical ideas to various audiences.
  • Ability to manage product specifications from concept to production.
  • Understanding of software design principles, including optimization and performance tuning.

Benefits:

  • Competitive salary and bonuses, including performance-based salary increases.
  • Generous paid-time-off policy.
  • Technology/Office stipend provided.
  • Health coverage included.
  • Flexible working hours and the option to work remotely.
  • Continuing education, training, and conference opportunities.
  • Company-sponsored coursework, exams, and certifications available.
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