Brillio
Response target Not provided by employer
Principal Data Scientist – R01551388
- Category
- AI & Data Engineering
- Required Skills
- See official employer job description
- Experience
- Mid
- Openings
- 1
- Apply by
- November 28, 2026
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- Numeric salary range: Not disclosed — confirm before proceeding
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- No-candidate-fee declaration: Not recorded for this listing
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Check my fit & prepare →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.
- 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.
Candidate Skill Fit Analysis
Sign in to check profile matchRequired competencies and technical background for this position:
Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
Monthly In-Hand
₹--
Annual Take-Home
₹--
Standard Deduction: ₹75,000 / yr
Employee PF (EPF): ₹-- / mo
Estimated Income Tax: ₹-- / mo
Platform listing reference
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