Job Opening: Thomson Reuters

Job Role: Applied ML Scientist

Location: Bengaluru

PQE: 6+ years

About The Role:
As an Applied Machine Learning Scientist, you will:

  • Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.
  • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
  • Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will connect complex business requirements with development deliverables. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
  • Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data.
  • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

About You

  • Master’s or Bachelor’s with a comparable level of experience (3+ years for Master’s or 6+ years for Bachelor’s) or PhD in a relevant discipline
  • Proficiency in Python
  • Experience with Natural Language Processing, and/or Machine Learning methods including Deep Neural Networks
  • At least one year practical, relevant experience building AI/ML products and applications
  • Software engineering and / or data engineering skills for prototyping
  • Experience as a technical contributor in aspects of the following:comfort in dealing with uncertainty and ambiguity in problem statements and paths to success
  • executing the research and development with an iterative mindset and approach
  • communication of progress and plans with varied stakeholders

Apply here

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