IN_Senior Associate_Data Scientist Gen AI_Data & Analytics_Advisory_PAN India

Description

& Summary: A career within….

Responsibilities:

Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Understanding of LLM Ops, ML Ops for scalable ML development. · Working knowledge on agents like PyTorch, TensorFlow · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique.

Mandatory skill sets:

AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow

Preferred skill sets:

AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow

Years of experience required:

5-9 Years

Education qualification:

BE, B. Tech, M. Tech

Education Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications Required SkillsData ScienceOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date