Description:

Bluelight Consulting is a leading software consultancy focused on designing and developing innovative technology that enhances users' lives.
The company is committed to delivering exceptional service to clients, emphasizing quality and customer satisfaction.
Bluelight is expanding its presence across the United States and Central/South America and is seeking exceptional talent to join its dynamic community.
The position is for a Senior Artificial Intelligence/Machine Learning Engineer, ideal for individuals who thrive in a fast-paced environment where contributions are valued.
The role involves contributing to challenging projects and developing high-quality applications that stand out in the market.
The company promotes continuous learning, personal growth, and hard work within a collaborative environment.

Requirements:

Candidates must have a strong background in computer science or engineering with at least 3 years of experience.
Knowledge of machine learning, deep learning, and natural language processing is essential.
Experience with large language models (LLMs) such as GPT and LLama3 is required.
Proficiency in Python and familiarity with TensorFlow or PyTorch is necessary.
Good problem-solving skills and the ability to work both independently and as part of a team are important.
Experience with AI voice programs/products is preferred.
Proficiency in cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes) is required.
Strong communication skills are needed to explain technical ideas to various audiences.
Candidates should be able to manage product specifications from concept to production.
An understanding of software design principles, including optimization and performance tuning, is necessary.

The position offers a competitive salary and bonuses, including performance-based salary increases.
There is a generous paid-time-off policy.
Employees receive a technology/office stipend.
Health coverage is provided.
Flexible working hours are available.
The role allows for remote work.
Opportunities for continuing education, training, and attending conferences are offered.
The company sponsors coursework, exams, and certifications for employees.