Details of the Role

Lead Data Scientist (NLP)

Location: Hyderabad/ Bengaluru

About the Job

Are you interested in solving complex business problems with the help of data and insights? You can be a key driver in transforming our business with the help of data and analytics. Do you want to be a part of the change transforming the business environment today? If yes, join us.

In this job, you will:

  • Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data
  • Create, experiment with and deliver innovative solutions in a consultative mindset to client stakeholders using textual data
  • Guide team of analysts to offer exceptional solutions to clients, across domains.

To join us, you should have:

  • Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.
  • 6-9 years of experience using analytical tools/languages like Python on large-scale data
  • Must have Semantic model & NER experience
  • Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases
  • Must have strong experience in NLP/NLG/NLU applications using any popular Deep learning frameworks like Open CV, PyTorch, Tensor Flow, BERT, and GPT (or similar models)
  • Must have strong experience in Deep learning for Image processing, Video analytics
  • Must have experience in computer vision models like (Yolo, Resnet, CNN, RNN, Reinforcement Learning, SSD, Inception, GoogleNet etc.)
  • Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains
  • Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc.
  • Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project.
  • Exposure to Generative AI.

You must have:

  • Ability to guide and mentor teams of associates on solution development and approaches
  • Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning
  • Coding skills in one or more programming languages such as Python, Scala, Java, C, C++
  • Expert / high level of understanding on language semantic concepts & data standardization
  • Proven track record of successful models and practical implementation
  • Hands-on experience with popular ML frameworks such as TensorFlow
  • Experience with application development practices at scale, from problem definition to deployment.
  • Familiarity with any Cloud services such as AWS, Sage Maker etc. is considered a plus
  • Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain

About Gramener

Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.

We offer you

  • A first-hand experience with complex and interesting, purpose-driven data problems.
  • An opportunity to make deep industry connections with data science experts, client teams, and domain champions and be part of the change that is transforming the business environment today.
  • A chance to try things, take risks.
  • Meaningful problems you’ll be proud of solving.
  • People you will be comfortable working with.

Key metrics for you will be

  • Timely delivery and quality of delivery
  • Customer satisfaction on engagements

To know more about us visit Gramener Website and Gramener Blog.