Data Science and Engineering Professional
hace 2 meses
We are seeking a highly skilled Data Science and Engineering Professional to join our team at Bluelight Consulting. This role requires a strong background in computer science or engineering, with a minimum of 3 years of experience in coding with Python. The ideal candidate will have advanced knowledge of AWS services, including ML services such as AWS SageMaker and Step Functions. Familiarity with popular machine learning frameworks like TensorFlow, PyTorch, or scikit-learn is also necessary. In addition, experience with ML monitoring and automation tools like MLflow and SageMaker Pipelines is required. Infrastructure and container technologies, such as Terraform, Docker, and Kubernetes, should also be well understood. Furthermore, knowledge of tools for automating deployment pipelines, including GitLab CI/CD, Jenkins, and AWS CodePipeline, is essential.
Company Benefits
As a consultant in our team, you will enjoy a competitive salary and bonuses, including performance-based salary increases. You will also have a generous paid-time-off policy, technology and office stipend, health coverage, flexible working hours, and the opportunity to work remotely. We offer continuing education, training, conferences, company-sponsored coursework, exams, and certifications to support your professional growth.
About the Role
This is a challenging and rewarding career choice that will give you the opportunity to work on a variety of projects for our incredible clients. You will collaborate with modern technologies and work alongside some of the best professionals in the industry. If you are eager to be part of an exciting and rapidly growing consultancy, we encourage you to apply.
Why Bluelight Consulting?
At Bluelight Consulting, we value our consultants and provide them with the tools and support they need to succeed. We offer a fun and dynamic work environment that is perfect for professionals who are looking for a new challenge. If you are passionate about machine learning, data science, and engineering, we want to hear from you. Apply now to join our team and take your career to the next level.
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