SQL, Python Programming, R Programming, AWS, Tableau, Scala Programming
“We make magic.” That’s our motto at Disney Parks, Experiences and Products (DPEP). And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!
Data Science and Engineering group within DPEP spearheads cutting edge data and AI capabilities to create magical guest experiences and unparalleled operational efficiencies. As the Manager of the MLOps platform, you will lead a technology team to build and operationalize end-to-end Machine Learning platform supporting a wide variety of applications in computer vision, natural language processing, data analytics, predictions, recommendations, content creation and optimization. The platform enables multiple studios of app developers, data engineers, data scientists, content creators and business analysts to build, deploy, sustain and continuously improve AI services.
Responsibilities:
Basic Qualifications:
Preferred Qualifications:
Please note that this is an engineering management role and not a data scientist role. The ideal candidate should be able to multi-task across various development, operations, analytical and administrative tasks.
Required Education
From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started! Disney Streaming Services is a business unit within Disney’s Direct-to-Consumer and International (DTCI) segment that oversees all consumer
Bangalore, Karnataka, India
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Mumbai, Maharashtra, India
2-4 year
Orlando, FL, USA
2-4 year
Orlando, FL, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Taipei City, Taiwan
2-4 year
San Francisco, CA, USA
2-4 year
Glendale, CA, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
6-8 year
Mumbai, Maharashtra, India
2-4 year
Santa Monica, CA, USA
6-8 year
Lake Buena Vista, FL, USA
4-6 year
San Francisco, CA, USA
8-10 year
Santa Monica, CA, USA
8-10 year
Seattle, WA, USA
8-10 year
Bengaluru, Karnataka, India
4-6 year
Mumbai, Maharashtra, India
4-6 year
New York, NY, USA
8-10 year
Bristol, CT, USA
8-10 year
New York, NY, USA
4-6 year
Bristol, CT, USA
4-6 year
Santa Monica, CA, USA
6-8 year
New York, NY, USA
6-8 year
Santa Monica, CA, USA
8-10 year
New York, NY, USA
8-10 year
Orlando, FL, USA
10-12 year
Glendale, CA, USA
10-12 year
Seattle, WA, USA
10-12 year
Anaheim, CA, USA
10-12 year
Lake Buena Vista, FL, USA
10-12 year
Santa Monica, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
New York, NY, USA
4-6 year
Santa Monica, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Bristol, CT, USA
12-14 year
Burbank, CA, USA
12-14 year
Santa Monica, CA, USA
0-2 year
Seattle, WA, USA
0-2 year
Glendale, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
Santa Monica, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
8-10 year
New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
New York, NY, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year