Senior Data Science Specialist

2 days ago

Hyderabad Secunderabad Telangana, India beBeeDataScientist Full time ₹ 1,04,000 - ₹ 1,30,878
Job Description

As a Data Scientist, you will be part of our advanced analytics team and work on building cutting-edge AI solutions using Generative AI (GenAI) techniques. Your primary responsibility will be to blend classical data science with GenAI to solve real-world business problems and push the boundaries of AI adoption across domains.

">Responsibilities:
  • Build and deploy Generative AI models using large language models (LLMs) like GPT, Gemini, Claude, LLaMA, etc.
  • Design and develop Retrieval-Augmented Generation (RAG) pipelines for enterprise search and summarization.
  • Perform exploratory data analysis, feature engineering, and apply statistical methods to derive insights.
  • Work with vector databases.
  • Develop and fine-tune prompts for prompt engineering, few-shot learning, and function calling.
  • Collaborate with product and engineering teams to design AI-driven features and solutions.
  • Conduct A/B testing, build dashboards, and contribute to ML pipelines in production.
  • Stay updated with GenAI research and open-source tools evaluate new models and frameworks.

Required Skills and Qualifications:

Minimum Qualifications:

  • Bachelor's or master's degree in data science, computer science, statistics, or a related field.
  • Programming languages - Python, SQL/NoSQL proficiency must be advanced and well-versed with core for data manipulation, modeling, and automation.
  • Data engineering - intermediate to advanced proficiency in ETL/ELT pipelines, data validation, schema design along with experience with data ingestion, transformation, and quality checks.
  • ML/DL - intermediate to advanced proficiency in core data science skills, data analytics, statistics.
  • AI/ML expertise - intermediate to advanced proficiency in model development, LLM fine-tuning, drift detection, feature engineering. Should understand domain-specific model training and evaluation.
  • Cloud platforms - AWS, Azure, or GCP. Well-versed with deploying AI/ML solutions in cloud environments.

Benefits:

Why join us?

  • Lead AI-first transformation - Build and scale AI solutions that redefine industries.
  • Make an impact - Drive change for global enterprises and solve business challenges that matter.
  • Accelerate your career - Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills.
  • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace.
  • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build.

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