Accelerated AI Engineer Work-Integrated Program - Bletchley Fellowship
Salário Estimado
R$ 12.870,00 - R$ 19.305,00
Excelente
Score da Vaga
Descrição da Vaga
the Bletchley Fellowship The Bletchley Fellowship is a work-integrated fellowship program designed to align how technologists learn with how modern AI products are actually built and deployed.
Rather than treating education and employment as separate phases, the Fellowship intentionally combines structured learning with real, paid work on production systems.
Fellows are placed with vetted employer partners while progressing through a rigorous curriculum focused on AI/ML and Data Science.
The Fellowship exists for engineers who want to deepen their technical range, work on meaningful systems, and develop real responsibility earlier and more deliberately than traditional career paths allow.
About Flatiron School As a leader in the tech industry, Flatiron School believes that education is the best investment you can make in your future.
We’re committed to helping change lives and the world for the better.
Our courses provide an immersive, outcomes-driven curriculum for students looking to launch a career in Software Engineering, Cybersecurity, Data Science, Artificial Intelligence and Game Design.
In addition to student programs, we also offer targeted education solutions for organizations.
About the Opportunity Flatiron School is offering an apprenticeship opportunity for early-career developers to earn income while learning.
Apprentices will enroll in Flatiron’s AI part-time bootcamp and be matched with one of Bletchley Fellowship’s employer partners for a paid apprenticeship throughout the duration of your course.
This is a unique opportunity to develop skills in AI and data science while gaining hands-on industry experience.
As an apprentice, you’ll contribute to software products, collaborate with experienced engineers, and build your portfolio with production-ready work.
At the same time, you’ll deepen your understanding of data and machine learning to become a more versatile, full-stack software developer.
This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for 14 months.
The apprenticeship earnings will more than cover the tuition cost of the bootcamp.
What you'll do • Attend and complete the Flatiron School Data Science Bootcamp as part of the apprenticeship
S. • Must be authorized to work in the U.
S.
We do not offer any visa sponsorship at this time - including H-1B, STEM OPT, and F-1 visa transfers. • Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science bootcamp and for apprenticeship work
Requisitos
- How to build and ship features with real user needs and product strategy in mind
- How to apply data thinking to software engineering challenges
- Must be currently living in the U.S
- Must be authorized to work in the U.S. We do not offer any visa sponsorship at this time - including H-1B, STEM OPT, and F-1 visa transfers
- Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science bootcamp and for apprenticeship work
- Not currently enrolled in a college/university or bootcamp program
- Programming proficiency in at least one modern language (e.g., JavaScript, Python, Java)
- Familiarity with frontend and backend web development concepts
- Working knowledge of databases (SQL or NoSQL) and how to query or integrate them
Responsabilidades
- As an apprentice, you’ll contribute to software products, collaborate with experienced engineers, and build your portfolio with production-ready work
- At the same time, you’ll deepen your understanding of data and machine learning to become a more versatile, full-stack software developer
- Attend and complete the Flatiron School Data Science Bootcamp as part of the apprenticeship
- Contribute to software projects for your host company
- Write clean, maintainable and testable code using modern frameworks and tools
- Collaborate in sprint-based workflows and participate in code reviews
- Support feature development, debugging, documentation, and QA processes
- Build your portfolio of production-level work while growing your technical and collaborative skills
- Receive ongoing mentorship from senior developers and product leaders
- How engineering and data science intersect in modern AI products
- Practical agile development workflows in a collaborative environment
- Best practices for writing clean, maintainable, production-quality code
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