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

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 and dynamic environment.
• The ideal candidate will have a strong background in computer science or engineering with at least 3 years of experience.
• Required skills include knowledge of machine learning, deep learning, and natural language processing, proficiency in Python, familiarity with TensorFlow or PyTorch, and experience with LLMs like GPT and LLama3.
• The role involves working on AI voice programs/products, managing product specifications, and utilizing cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes).
• Strong problem-solving skills, the ability to work independently and in a team, and excellent communication skills are essential.
• The position also requires an understanding of software design principles, including optimization and performance tuning.

Requirements:

• Strong background in computer science or engineering with 3+ years of experience.
• Knowledge of machine learning, deep learning, and natural language processing.
• Experience with LLMs like GPT and LLama3.
• Proficient in Python and familiar with TensorFlow or PyTorch.
• Good problem-solving skills and ability to work independently and in a team.
• Experience with AI voice programs/products.
• Proficient 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.
• Health coverage.
• Flexible working hours.
• Remote work option.
• Continuing education, training, conferences.
• Company-sponsored coursework, exams, and certifications.