Machine Learning Engineer - QuantumBlack Studio
Software Engineering, Data Science
São Paulo, SP, Brazil
Posted on Sep 24, 2026
- Sao Paulo
YOUR IMPACT
You will help clients get the most value from EcliptOS, QuantumBlack Studio’s AI Operating System, a next-generation platform designed to connect strategy to execution through agentic systems.
You will act as a technical partner to our clients, helping them achieve their desired outcomes, realize the full value of EcliptOS, and build long-term success with the platform.
You will work closely with cross-functional teams, including engineering, data science, and software engineer, to deliver an exceptional client experience and drive continuous improvement.
You will sit at the intersection of client engagement and technical delivery, combining a client-focused mindset with a passion for helping clients succeed with EcliptOS.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
- Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business) or equivalent experience
- 3+ years of experience in Machine Learning or AI engineering
- Experience working in client-facing roles is a strong advantage
- Strong understanding of data engineering, data science, and GenAI concepts
- Experience with software development and deployment, preferably in Python
- Experience with deployment and infrastructure management, preferably in environments using Docker and Kubernetes
- Ability to address technical issues and collaborate with engineering teams to resolve complex challenges
- Exceptional interpersonal skills, with the ability to build trust and influence stakeholders at all levels
- Strong problem-solving and critical-thinking abilities
- Proactive, client-focused mindset with a passion for delivering value
- Strong verbal and written communication skills in English and Portuguese
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
Industries
- High Tech
Capabilities
- Technology
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.