Data & Analytics
San Francisco

ML Engineer

Why join frog?

Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. As a leading global creative consultancy that is part of Capgemini Invent, frog challenges the status quo to craft and build transformative human experiences that win hearts and move markets. Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer-centric transformation. Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet. Our culture is open, flexible, inclusive and engaging. Working at frog means being empowered to Make Your Mark on every project, in your studio, your community—and the world at large.

What will you be doing? 

As an ML Engineer, you will deliver high-quality work to drive customer satisfaction. The ML Engineer uses their intellect, insight, and ability to build creative solutions with clients and colleagues while embracing a collaborative mindset. You will collaborate with data scientists and data engineers to deploy AL/ML models and solutions into production environment. You will design and implement end-to-end machine learning pipelines, evaluate open source and proprietary technologies, and present recommendations to automate machine learning workflows. 

What you have:  

  • MBA, relevant Masters degree, or 3-5+ years of relevant experience
  • 5+ years of experience in ML engineering, deploying ML/data science models
  • Strong experience on AWS, Azure, Google cloud
  • Experience in containerization using Docker, Kubernetes
  • Strong experience in Python 
  • Highly structured and conceptual mindset coupled with strong quantitative and analytical problem-solving aptitude

In addition:  

  • Design and implementation of ML platforms and solutions
  • Prototype and demonstrate solutions for clients in customer environments.
  • Develop pipelines and automations to manage ML infrastructure, deployments, operations, and tracking effectiveness of the models
  • Serve as an internal expert resource and champion for architecture and deployment of data science models
  • Ability to mentor consultants/associate consultants and motivate a successful team behavior
  • Supporting internal practice development and business development activities

Equal Opportunities at frog

frog is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

frog is a global business with teams working across the world. To help us process your application, please ensure that your application documents (CV, cover letter, portfolio, etc.) are all in English.