✦ Role summary AI-generated
This Principal Data Scientist will lead AI strategy and mentor cross-functional teams in Bangalore, driving end-to-end ML and GenAI solutions. They will design scalable data pipelines, deploy LLMs with MLOps practices, and collaborate with stakeholders to translate business problems into data-driven insights.
About this role Principal Data Scientist
Primary Skills
ML & GenAI Expertise – LLMs (GPT, RAG), NLP, Deep LearningMLOps & Deployment – Model lifecycle management, CI/CD, monitoringData Engineering – Scalable data pipelines, big data tools (Databricks/Spark)Programming – Python, SQL, TensorFlow/PyTorchLeadership – 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. Check if you match score your resume against this role
Similar open roles PS
NEW On-site Mid Data Scientist
G
NEW On-site Senior Data Scientist
AI
NEW On-site Junior Data Scientist
L
NEW On-site Junior Data Scientist
On-site Senior Data Scientist
A
NEW On-site Mid Data Scientist
