ML Engineer
Why join frog?
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.
Careers
