Analytical and Problem solving, Data science techniques, Design, Effective communication skills, Google BigQuery, Google Cloud Platform (GCP), Kubeflow, Machine learning techniques, Presentation skills, PyTorch, Scikit-learn, Statistics, TensorFlow
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe our people are the ones who truly empower imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
JOB DESCRIPTION:
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an ML Engineer-GCP, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Roles and Responsibilities
Mandatory technical skills
Mandatory non-technical skills
Education Qualification and Certifications
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Fractal Analytics is a global analytics and artificial intelligence (AI) company that provides advanced analytics solutions to businesses across various industries. Its headquarters are located in New York City, with additional offices in the USA, India, UK, and Singapore. Fractal Analytics specializes in leveraging data, AI, and technology to help organizations make data-driven decisions and solve complex business problems.
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