DataOps/ML Engineer - Remote, Latin America

Bluelight, a prominent software consultancy, is seeking a DataOps/ML Engineer to join their expanding team. The company specializes in developing innovative technology solutions across the United States and Latin America. This role combines data engineering and machine learning expertise, requiring strong proficiency in Python programming and AWS services, particularly in ML-related tools like SageMaker and Step Functions.

The position offers an exciting opportunity to work on diverse, challenging projects that directly impact client businesses. The ideal candidate will have at least 3 years of experience and be well-versed in modern ML frameworks, infrastructure technologies, and automation tools. The role involves working with cutting-edge technologies and collaborating with top industry professionals.

What makes this role particularly attractive is the company's strong focus on professional development and growth. Bluelight offers comprehensive benefits, including competitive compensation, flexible working arrangements, and substantial investment in continuing education and certifications. The remote work environment promotes work-life balance while maintaining a collaborative and dynamic team culture.

The company values innovation, quality, and customer satisfaction, making it an ideal place for professionals who want to contribute to meaningful projects while advancing their careers. Working at Bluelight means joining a diverse community of talented individuals who are passionate about delivering exceptional software solutions and driving technological advancement.

This role is perfect for someone who thrives in a fast-paced environment, enjoys solving complex problems, and wants to be part of a growing consultancy that values individual contributions and promotes continuous learning. The opportunity to work with various clients and projects ensures constant learning and career growth, while the company's supportive culture ensures a rewarding professional experience.