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.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#J-18808-Ljbffr


Salario Nominal: A convenir

Fuente: Jobtome_Ppc

Requisitos

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