Principal Data Scientist

Bangalore, Karnataka, India

AI & Data Engineering – AI & Data Engineering : Data Science /

Employee /

Hybrid

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Principal Data Scientist

* 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

* 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.