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Brillio 2

Posted 9 Jun 2025

Principal Data Scientist - R01551388

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Team
AI & Data Engineering : Data Science
Posted
9 Jun 2025

About the role

Principal Data ScientistPrimary Skills
  • ML & GenAI Expertise – LLMs (GPT, RAG), NLP, Deep Learning
  • MLOps & Deployment – Model lifecycle management, CI/CD, monitoring
  • Data Engineering – Scalable data pipelines, big data tools (Databricks/Spark)
  • Programming – Python, SQL, TensorFlow/PyTorch
  • Leadership – Team mentoring, AI strategy, stakeholder collaboration.
  • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
    • Job requirements
  • Education: Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or related fields.
  • Experience:
  • Overall 12+ years of experience, including 2+ years in delivering AI-powered products.
  • Minimum 2 years of dedicated Product Management experience.
  • At least 1 year of experience with GPT/LLM model development (pre-processing, feature selection, hyper-parameter tuning).
  • Technical Expertise:
  • Hands-on experience with Agentic AI and Graph RAG solutions.
  • Skilled in developing and training GPT/LLM models for applications such as chatbots, Q&A systems, and recommendation engines.
  • Strong background in data analysis, pre-processing, feature engineering, and model selection to deliver accurate models efficiently.
  • Continuous monitoring and iteration to improve model accuracy and performance based on feedback.
  • Collaboration & Leadership:
  • Work closely with cross-functional teams to define product requirements and develop GPT/LLM use cases.
  • Define and align the vision for Data/AI use cases with senior leadership for medium- and long-term goals.
  • Soft Skills:
  • Strong analytical, strategic thinking, problem-solving, and project management skills.
  • Exceptional attention to detail, ability to innovate, and address challenges at both macro and micro levels.

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