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Data Scientist

  • Bengaluru - India
  • Full Time

Roles And Responsibilities:

  • Design, develop and deploy machine learning models, algorithms and systems to solve complex business problems.
  • Theoretical understanding and practise of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation.
  • Implement robust and reliable software solutions for model deployment.
  • Support the team in maintaining machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training.
  • Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation.
  • Working with the Data Platforms teams for understanding and collecting the data.
  • Conduct performance testing, troubleshooting and tuning as required.
  • Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.

Qualifications & Experience:

  • Master’s Degree or PhD in the fields of Computer Science, Statistics, or an equivalent with a minimum of 5 years of experience in data science.
  • Should have worked with at least one GenAI project.
  • Should have expertise in Deep Learning & Reinforcement Learning techniques.
  • Should have experience in building statistical models using the above-mentioned techniques.
  • Should possess ability to build & deploy the models and interpret the results to business users.
  • Should have experience working with NLP models and building related applications such as chatbot, text-classifications, etc.
  • Should have experience working with big data tools – Hadoop, Hive, Spark.
  • Proficiency in Python, good understanding of OOPs is a must.
  • Worked with at least one mainstream machine learning framework such as Tensor Flow,pyTorch,langchain.
  • Experience working with Cloud platforms (Azure, AWS, GCP).
  • Should have ability to write complex SQL & stored procedures.
  • Should have experience in working with API’s - deploying models, extracting data.
  • Should have good communication skills and ability to interact with customers.

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