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Principal Artificial Intelligence Engineer - OPTUM
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ABOUT THIS JOB

  • Company
    [email protected]
  • Location
    Bangalore
  • Posted On
    06 Oct 2020
  • Job Type
    Full Time
  • Functional Area
    Software Development
  • Industry
    IT-Software / Software Services
  • Education
    BTech
  • Applied Now
    1 Applicants
  • Experience
    3-6 Years
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Job Description


About the job

Job Profile – Principal Artificial Intelligence Engineer

Responsibilities

  • Research, invent, design, and build novel AI solutions and train Machine Learning models to address the biggest opportunities in healthcare
  • Produce high-quality solutions that are robust, reliable and scalable,
  • Approach highly uncertain and ambiguous environments with curiosity and a positive can-do attitude
  • De-lever the risk of the hardest part of a project
  • Utilize data from disparate data sources and formats in order to support solution features
  • Research and develop novel AI solutions independently and as part of a team
  • Provide technical vision and leadership to the team and the Optum community alike
  • Liaise with business stakeholders
  • Collaborate effectively in cross-functional and interdisciplinary teams
  • Demonstrate initiative and strong ownership of deliverables
  • Applying the scientific method to prove the value of proposed innovations
  • Develop both technical as well as domain expertise to effectively realize business opportunities

Qualifications:

  • Advanced degree in Computer Science, AI/Machine Learning, Statistics, Optimization or related discipline
  • Demonstrated experience in the fundamentals, practical application, and best practices of AI
  • 5+ years track record of advanced AI development
  • Experience with Spark, Hadoop, MPI, or other distributed frameworks
  • Working Knowledge of Tensorflow, PyTorch or similar other machine learning frameworks
  • Fluency in R, Python, Scala, Java, C/C++ or other programming languages to demonstrate the results of algorithmic approaches
  • Strong software design and architecture skills with an eye towards avoiding and reducing technical debt

 

Preferred (either one or combination):

  • Ph.D. in Computer Science, Statistics, Mathematics, or related quantitative discipline
  • Academic publications in AI at top tier conferences or journals
  • Experience in Healthcare
  • Demonstrable experience in building end-to-end AI systems
  • Demonstrable academic or industry experience in Speech AI
  • Demonstrable academic or industry experience in Natural Language Understanding
  • Demonstrable academic or industry experience in Image Processing
  • Demonstrable academic or industry experience in Deep Learning
  • Demonstrable academic or industry experience in Classical AI (search and planning)
  • Demonstrable academic or industry experience in Reinforcement Learning
  • Demonstrable academic or industry experience in Bayesian Statistics
  • Demonstrable academic or industry experience in Causal Inference
  • Demonstrable academic or industry experience in Ethical AI
  • Prior experience with Cloud AI APIs (GCP, Azure, AWS)
  • Experience building and running ML algorithms in constrained environments (i.e., Mobile Phones)