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Job Description

Greetings from TCS!

Job Title: Data Scientist

Walkin Date: 8th Aug 26

Walkin Location: Pune

Walkin Time: 9am-1pm

Experience Range: 6-15 yrs

Job description:

TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.

Key Responsibilities

  • Advanced degree in mathematics, statistics, computer science, or related field.
  • 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.
  • Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments.
  • Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions.
  • Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.
  • Implementing MLOps practices for model deployment, monitoring, and management.
  • Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Staying updated with the latest advancements in data science, generative AI, and cloud AI services.
  • Experience in developing and deploying AI/Gen AI based systems in production.
  • Mentoring junior data scientists and providing technical guidance.

Minimum Qualification: 15 years of full-time education

More Info

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Job ID: 151876025

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