Qureos

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Data Scientist

Bangalore, India

Role : Senior Data Scientist

Location : Hybrid (Bangalore/ Hyderabad)


At Joveo we are looking for like-minded problem solvers. If you are someone who believes in getting the job done with end-to-end ownership, this is a role for you.


Responsibilities :

  • As a Full Stack Data Scientist own the business problem, modelling is just the part of the solution.
  • Create data models for a diverse set of business problems.
  • Experience in Natural languages processing / textual semantics related work using transfer learning where possible.
  • Experience in predictive modelling on business problems impacting customer KPIs.
  • Ensures that data science code is maintainable, scalable and debuggable
  • Collaborate with data scientists , data engineers and business to incorporate their expertise into data science solutions.
  • Working with both structured and unstructured data sets.
  • Looks constantly for performance improvement and decides which ML technologies will be used in a production environment
  • Be prepared to take your own decisions and prove your point with data
  • Be prepared to work with millions of records and solve the scale problem with cost optimised solutions
  • Work closely with Product to complete / augment DS product offerings and find innovative solutions to help Joveo customers / stakeholder take business decisions with data.
  • End to end responsibility on taking the business problem to productions to impact the business metrics.


What we are expecting :

  • 3-5 years Experience in deploying ML models and applications at scale, in cloud infrastructure
  • Deep learning experience in any deep learning libraries like pytorch, TensorFlow etc.
  • Very strong experience on Python programming
  • Knowledge of Kubernetes and MLops - model building , serving and monitoring
  • Have fine tuned BERT / GPT based model for embedding generation and text generation.
  • Deployed Large language models (LLMs), with GPUs serving high through put load requirements.
  • Good at predictive modelling with tabular and time series base multi-panel data.
  • Knowledge for operations research and experience in optimisation problems is a big plus.
  • Should have done 2-3 commercially launched modelling work with live users consuming the product
  • Have good knowledge of design patterns and DS & Algo
  • Enjoy working in a start-up like fast paced environment

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