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Data Scientist
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- Posted 12 days ago
- Be among the first 20 applicants
Job Description
Greetings from TCS!
Job Title: Data Scientist
Walk-in Interview Date: 19-September-2026 (Saturday)
Walk-in Location: Tata Consultancy Services - Magnum Block IT SEZ Phase-2, 200 Feet Radial Road, MCN Nagar Extension, Thoraipakkam
Walk-in Time: 9am-1pm
Experience Range: 4-10 yrs
Required Technical Skills:
- Strong knowledge of statistical analysis, machine learning, and deep learning.
- Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs).
- Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams.
- Fine-tuning pre-trained models to optimize their performance for specific tasks and domains.
- Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution.
Minimum Qualification: 15 years of full-time education
More Info
Key Skills
Agentic AI systems
generative AI
large language models (LLMs)
exploratory data analysis (EDA)
fine-tuning pre-trained models
About Company
Skills:
Machine Learning, Power Bi, Databricks, Tableau, SageMaker, Vertex AI, CI CD pipelines, MLOps frameworks, cloud AI platforms, LLM orchestration
Skills:
Machine Learning, Tensorflow, Pytorch, Python, Redis, Azure, Gcp, AWS, embeddings, cloud-native AI services, LLM integration, vector databases, Pinecone, Elastic, production ML architecture, MLOps practices, data engineering pipelines, ChromaDB, RAG pipelines, feature stores, Generative AI, LLMs, Scikit-learn, ML workflows, prompt engineering
Skills:
Machine Learning, Tensorflow, Deep Learning, Numpy, Nlp, Pandas, Pytorch, MLops, Python, Statistical Analysis, Gcp, Time Series, Azure, AWS, scikit-learn, generative AI, R, Vision capability streams, cloud-based AI services
Skills:
Machine Learning, Tensorflow, Nlp, Pytorch, XGBoost, Python, AWS, Sql, Gcp, Azure, vector search, validation frameworks, HuggingFace, MLflow, Pinecone, OpenSearch, LangChain, Generative AI, RAG architecture, LLMs, CI CD for ML deployments, LightGBM, Scikit-learn, prompt engineering, OpenAI LLM APIs, FAISS, Weaviate, LlamaIndex, Model evaluation
Skills:
causal inference , Machine Learning, XGBoost, Python, Sql, Forecasting, Classification, Neural Forecasting Architectures, Optimization, Multivariate Regression