Posted 28 days ago by

Senior Consultant, Technology - Analytics (AI/ML)

Houston, TX, United States
Experience: Senior

Sr. Consultant, Technology – Analytics (AI/ML)

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.

Responsibilities:

  • 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

Requirements:

  • 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.)
  • Advanced proficiency in Python and JavaScript; familiarity with Java, C/C++, SAS, SPSS, Hadoop, Spark and Scala; GPU programming experience
  • 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

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