Company: Sapient is Driving Digital Transformation and Leading Change; this requires big thinkers who bring insight, knowledge, technical acumen and passion for innovation. We offer the opportunity to join a recognized leader in developing and delivering groundbreaking solutions for today’s dynamic global marketplace and an award-winning culture that fosters growth and leadership.
At Sapient, this Senior Associate, Technology needs to be deeply passionate about strategic business applications for artificial intelligence and machine learning. They will work closely with product development and leadership team to build and launch innovative technology solutions for digital advertising and analytics.
Help design, develop, and deploy cognitive solutions for clients
Iterate and optimize AI/ML solutions for increased performance and scalability
Enhance platform features, functions, and capabilities by defining and executing on additional use cases for machine intelligence for clients
Support data engineering efforts to ensure seamless flow between our platform and connected integrations
Promote continuous adoption of new technologies and algorithms
Serve as a thought leader and evangelist for strategic adoption of machine intelligence
Contribute your subject matter expertise through occasional articles and case studies
Lead data science initiatives from discovery through deployment
Master’s degree in Computer Science, Applied Mathematics, or related technical field or Bachelor’s degree in Computer Science with relevant professional experience
Experience creating and leveraging AI systems and techniques such as machine learning, NLP, Deep Learning, neural nets, knowledge induction, and/or statistical relational learning
Experience with algorithmic optimization, data mining, and advanced statistical analysis
Proficient with machine learning frameworks (TensorFlow, Theano, Spark MLib, etc.)
Familiarity with data exchange technologies such as JSON; expertise in API integration and usage
Experience designing, validating and deploying machine learning algorithms, libraries, and/or systems