Senior Data Scientist GenAI, LLM

Job Description

Title: Senior Data Scientist GenAI, LLM & Advanced AnalyticsLocation: Thousand Lights, ChennaiWork Mode Onsite (5 Days) Sat/Sun Week OffDepartment: Software Development Positions: 1Employment Type: Full Time Remote: No Notice Period: Upto 15 DaysAbout Colan Infotech - https://colaninfotech.com/Colan Infotech is a fast-growing CMMI Level 3 digital transformation and technology services company delivering innovative solutions across AI, Cloud, Mobility, Web Applications, DevOps, and Product Engineering. With a strong global footprint spanning the US, UK, India, and GCC, we partner with organizations to build scalable, future-ready technology products.Backed by a culture that values innovation, ownership, continuous learning, and collaboration, Colan Infotech provides an environment where people grow, contribute meaningfully, and make a real impact.About the RoleWe are seeking a highly skilled Senior Data Scientist with hands-on expertise in Machine Learning, Large Language Models (LLMs), and Generative AI. The role involves designing, building, and deploying production-grade AI systems, including agentic LLM workflows, forecasting engines, recommendation platforms, and fraud analytics solutions. The ideal candidate will collaborate with engineering and business stakeholders to translate requirements into scalable AI solutions and contribute to the organizations AI roadmap.Key ResponsibilitiesGenAI & LLM Solutions Develop LLM-powered applications using GPT, LLaMA, Mistral, Gemini, and transformer-based models Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Azure AI Search) Develop multi-agent LLM systems using LangGraph (orchestrator, intent, guard, and domain agents) Implement enterprise-grade prompt engineering and hierarchical prompting strategies Ensure LLM output safety, quality, and guardrails for production deploymentMachine Learning & Analytics Build ML models for forecasting, recommendation, fraud detection, churn prediction, and sentiment analytics Apply advanced feature engineering, imbalanced data handling (SMOTE/ADASYN), and hyperparameter tuning Perform statistical analysis including A/B testing, hypothesis testing, and model performance evaluationNLP & Deep Learning Implement NLP solutions using BERT, DistilBERT, Word2Vec, embeddings, and transformers Perform topic modeling, sentiment analysis, and root cause analysis (RCA) on unstructured data Build deep learning architectures (ANN, CNN, RNN, LSTM) using TensorFlow, PyTorch, and KerasMLOps & Deployment Manage end-to-end ML lifecycle using MLflow for experiment tracking and model registry Develop CI/CD pipelines for training, validation, packaging, and deployment Deploy ML and GenAI solutions using Azure Managed Online Endpoints Ensure scalability, reliability, monitoring, and observability of deployed modelsCloud & Data Engineering Work extensively on Microsoft Azure, with exposure to GCP and AWS Build scalable APIs and services using Flask / Streamlit Process and manage large datasets using SQL, PySpark, and cloud-native servicesRequired Skills & Experience Experience: 8 years in Data Science, ML, NLP, and Generative AI Programming: Python, SQL (R is a plus) ML Frameworks: scikit-learn, XGBoost, CatBoost, TensorFlow, PyTorch, FastAI GenAI & LLMs: OpenAI, Hugging Face, LangChain, LangGraph, RAG pipelines NLP: BERT, transformer-based models, embeddings, topic & sentiment modeling MLOps: MLflow, CI/CD pipelines, model registry, deployment pipelines Cloud: Azure (primary), GCP, AWS Databases: SQL Server, MS Fabric, Vector DatabasesWhat We Look For Strong analytical and problem-solving skills Proven experience deploying production-grade AI systems Ability to bridge research-driven GenAI capabilities with enterprise use cases Capability to work cross-functionally with engineering and product teams Ability to operate in consulting, product, or fast-paced environments Strong communication and stakeholder management skills Leadership qualities including mentoring and code/model reviewPreferred Qualifications M.Tech / B.Tech in Computer Science, Data Science, AI, or related fields (IIT or equivalent preferred) Certifications in LLMOps, GenAI, Deep Learning, or Statistical Modeling Prior experience in developing enterprise-grade agentic LLM systems .

Keyskills :
Data ScienceMachine LearningPythonSQLLarge Language Models LLMsGenerative AIscikitlearnXGBoostCatBoost