Dataops/Ml Engineer - Remote, Latin America

Detalles de la oferta

Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.
\n What we are looking for:Strong computer science or engineering background with 3+ years of coding experience with Python.Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).Familiar with TensorFlow, PyTorch, or scikit-learn.Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).Infrastructure and container technologies working experience (Terraform, Docker, Kubernetes).Knowledge of tools for automating deployment pipelines (GitLab CI/CD, Jenkins, AWS CodePipeline). Company BenefitsCompetitive salary and bonuses, including performance-based salary increases.Generous paid-time-off policyTechnology / Office stipendHealth CoverageFlexible working hoursWork remotelyContinuing education, training, conferencesCompany-sponsored coursework, exams, and certifications
\nBeing a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You'll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you're eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote


Salario Nominal: A convenir

Fuente: Grabsjobs_Co

Requisitos

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

Company Overview Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' live...


Bluelight Consulting - Ancash

Publicado a month ago

Site Reliability Engineer - Remote - Latin America

FullStack is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build ...


Fullstack Labs Inc. - Ancash

Publicado a month ago

Empresa Requiere Para Sus Servicios De Capacitaci... (Soloquedan 24H)

Empresa requiere para sus servicios de capacitación Bachiller, Técnico y/o Titulado en la Profesión: Administración de Empresas, Economía, Derecho, Comunicad...


Sus It - Ancash

Publicado a month ago

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

Company Overview Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' live...


Bluelight Consulting - Ancash

Publicado a month ago

Built at: 2024-11-22T14:10:42.264Z