Dataops/Ml Engineer - Remote, Latin America

**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 Benefits**:

- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Technology / Office stipend
- Health Coverage
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications

Being 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