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

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 in an exciting phase of expansion, seeking exceptional talent to join its dynamic and diverse community.
• The position is for a Senior Artificial Intelligence/Machine Learning Engineer, ideal for someone who thrives in a fast-paced, dynamic environment.
• The role involves contributing 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:

• 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 required.
• Experience with large language models (LLMs) like GPT and LLama3 is necessary.
• Proficiency in Python and familiarity with TensorFlow or PyTorch is essential.
• Good problem-solving skills and the ability to work independently and in a team are required.
• 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 necessary.
• Strong communication skills for explaining technical ideas to various audiences are required.
• Candidates should have the ability to manage product specifications from concept to production.
• An understanding of software design principles, including optimization and performance tuning, is essential.

Benefits:

• 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 conferences are offered.
• The company sponsors coursework, exams, and certifications for employees.