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Walk-in || Data Scientist (AIML) @ Tata Consultancy

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 Walk-in || Data Scientist (AIML)

Job Description

Role: Data Scientist (AIML)


Experience: 4 to 12 Years

Location: TCS Vishakhapatnam Vishakhapatnam Office


Walkin Drive Date: 13 - Jun- 26, Saturday


Skills: LLM, MCP, Python, pandas, NumPy, scikit-learn, TensorFlow, PyTorch, AI, Gen AI, MLOPS


JD:

  • 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).
  • 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Walk-ins

Contact Details:

Company: Tata Consultancy
Location(s): Visakhapatnam

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Keyskills:   GENAI MLOPS Artificial Intelligence Machine Learning scikit-learn NumPy Python TensorFlow

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