Senior Research Engineer

Location IN-Bangalore
Job ID
Research & Development - Research Engineering
Pos. Type
Full Time

Company Overview / Présentation de l’entreprise:

Nuance is the pioneer and leader in conversational artificial intelligence (AI) innovations that bring intelligence to everyday work and life. We deliver solutions that understand, analyze, and respond to people, amplifying human intelligence to increase productivity and improve security. With decades of both domain and AI expertise, we work with thousands of organizations across a wide range of industries. 


Join our team! At Nuance, we are constantly reinventing how people connect with technology and with each other. Our AI-powered solutions empower organizations to transform “business as usual.” For decades, the world’s leading financial, healthcare, telecommunications, retailers, and government organizations have trusted Nuance to bring them award-winning solutions that deliver more meaningful outcomes and empower a smarter, more connected world. From clinical speech recognition technologies that free physicians to spend more time caring for patients to real-time intelligence that powers billions of customer interactions, we’re deeply committed to helping organizations push the boundaries of what’s possible.

Job Summary / Sommaire du poste:

Position summary:

Nuance communications Inc. Bangalore India data engineering team is seeking a skilled and motivated senior research data engineer with data engineering and machine learning experience. The successful candidate will have experience with big data processing and some hands-on experience building ML models. The candidate will have experience collaborating with remote colleagues and stakeholders.


Principal dutues and responsibilities:

  • Develop training and testing data sets used to train text data de-identification ML models.
  • Implement and manage annotation workflows with job control reporting and QA.
  • Maintain and update annotator tagging guidelines and training materials. Ensure that the guidelines properly support the tag sets and can be clearly understood by the annotators.
  • Build and test ML models, model evaluation including creating results dashboard, improving model performance.
  • Implement QA automation to detect quality problems in text data.
  • Document all code and processes.


Required skills:

Minimum years of work experience: 5+ years in technical industry

  • Python scripting and Linux tools, process automation tools commonly used for text data engineering.
  • Text parsing and cleaning, transforming regex, xml schema handling, json, pandas.
  • Modern code repository usage.
  • Data mining, big data processing tools and methods.
  • Experience using modern machine learning toolkits such as Tensorflow, pytorch or similar.
  • Ability to translate requirements into specific short term actions with accurate ETAs; regular tracking and reporting on status of activities, and deliverables.
  • Ability to work proactively, collaboratively, and independently and with other team members including with remote international staff.
  • Clear concise verbal and written communication, effectively use remote communication and collaboration tools.


Preferred skills:

  • Experience developing automated text data de-identification pipelines.
  • Cloud computing, containers, object storage.
  • Continuous integration of repositories (git).
  • Familiarity with process monitoring and reporting via dashboards.
  • Experience in Natural Language Processing, text data parsing and encoding, or data mining .
  • Experience working with multi language data.

Education: Minimum of BS in Computer Science, Engineering, or equivalent


Additional Information / Informations additionnelles:

Nuance offers a compelling and rewarding work environment. We offer market competitive salaries, bonus, equity, benefits, meaningful growth and development opportunities and a casual yet technically challenging work environment. Join our dynamic, entrepreneurial team and become part of our continuing success.

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