DataOps/ML Engineer - Remote, Latin America

Posted 25 Days Ago
Be an Early Applicant
12 Locations
Remote
Mid level
Professional Services • Software
The Role
The DataOps/ML Engineer role involves developing high-quality applications, utilizing AWS services and machine learning tools. Responsibilities include automating deployment pipelines and implementing ML monitoring systems, while collaborating in a dynamic environment. Candidates should have strong coding experience and familiarity with various technologies in cloud and machine learning.
Summary Generated by Built In

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, 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

Top Skills

Python
The Company
Sacramento, CA
22 Employees
On-site Workplace
Year Founded: 2019

What We Do

Helping companies to disrupt in the cloud by providing:

- Nearshore Staffing
- Cloud consulting
- Cloud migration strategies
- Cloud native development

Process Management and Improvement:

Define a working methodology according to the best practices of development to fulfill customer needs.
Champion ongoing processes and initiatives to implement the best practices of project management.
Research about the latests technologies which could be applied to a project in order to innovate and satisfy project needs

Team Building & Management:

Empowering teams to ensure every member participation and engagement to the project.
Ensure every member is proactively contributing to the progress of the project.
Contribute and encourage the team to always provide velocity and quality for every deliverable.

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