Principal Data Scientist

4 days ago

Bengaluru Karnataka, India Brillio Full time

**Principal Data Scientist - R01551388**:
**Principal Data Scientist**

**Primary 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.
- 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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