Simpplr Hiring Drive 2024 For Data Scientist | Location Gurugram

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Simpplr Hiring Drive 2024: Simpplr Hiring Drive 2024 for its Data Scientist. Simpplr Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Simpplr

Role: Data Scientist

Location: Gurugram

Experience: 1-3 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Simpplr Hiring Drive 2024

Job Description:

  • Join our forward-thinking team as a Data Scientist where you will address real-world challenges through the lens of AI innovation, specifically focusing on neural search, personalization, content recommendation, and pioneering work with custom LLM fine-tuning.
  • Work in an environment that fosters collaboration among highly skilled professionals to build next-generation products that significantly impact our clients’ operational effectiveness.


  • 1-3 years of experience in crafting and implementing AI models, with a particular interest in applications within custom LLM fine-tuning and content personalization.
  • Solid grounding in AI technologies, with proficiency in Python and familiarity with AI development frameworks.
  • Interest or experience in ML-Ops, emphasizing the journey from concept to production scalability.
  • Openness to candidates with a robust background in backend development who have delved into AI, especially those who have engaged in LLM fine-tuning and neural search.
  • Knowledge in developing analytical web applications and working with cloud platforms, capable of managing large data sets and complex AI models.


  • Innovate and develop scalable solutions leveraging AI technologies to process and analyze vast amounts of data efficiently.
  • Quickly prototype, test, and deploy effective AI solutions, managing project timelines and deliverables while incorporating the latest advancements in AI research.
  • Engage with cross-disciplinary teams to identify and implement AI-driven enhancements for user experiences, leading the charge from ideation to deployment.

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