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 diverse community.
The position is for a skilled Machine Learning Engineer to join a rapidly growing team.
The role is ideal for individuals who thrive in a fast-paced, dynamic environment where everyone's opinions and efforts are valued.
As a Machine Learning Engineer, you will contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market.
The company values continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.

Requirements:

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

The position offers a competitive salary and bonuses, including performance-based salary increases.
A generous paid-time-off policy is provided.
Employees receive a technology/office stipend.
Health coverage is included as part of the benefits.
Flexible working hours are available to accommodate different schedules.
The role allows for remote work.
Opportunities for continuing education, training, and attending conferences are offered.
The company sponsors coursework, exams, and certifications to support professional development.