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Python +Gen AI

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Onsite

Python +Gen AI

Tata Consultancy Services

Python +Gen AI

Skills

Google Cloud PlatformSQL QueriesData MiningPythonData ScienceNumPypandasData AnalysisMachine LearningAIAWSAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Job Title: Python & Generative AI Engineer

Job Summary

We are seeking a skilled Python & Generative AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The ideal candidate should have strong expertise in Python development, Generative AI technologies, Machine Learning, SQL, and AI frameworks to build intelligent and scalable solutions that address business challenges.

Key Responsibilities

  • Develop and deploy Generative AI and Machine Learning solutions using Python.
  • Design and implement AI/ML models for predictive analytics, automation, and intelligent applications.
  • Build and integrate Large Language Model (LLM)-based applications.
  • Develop data processing pipelines and manage structured/unstructured datasets.
  • Write efficient SQL queries for data extraction, transformation, and analysis.
  • Fine-tune, evaluate, and optimize AI/ML models.
  • Integrate AI solutions with cloud platforms and enterprise applications.
  • Collaborate with data scientists, business stakeholders, and engineering teams.
  • Ensure scalability, security, and performance of AI applications.
  • Stay updated with emerging AI and Generative AI technologies.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
  • Strong programming experience in Python.
  • Experience with Generative AI, LLMs, and AI frameworks.
  • Knowledge of Machine Learning algorithms and model development.
  • Strong SQL skills for data querying and analysis.
  • Experience with data manipulation libraries such as Pandas and NumPy.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) is preferred.
  • Knowledge of MLOps and model deployment is a plus.

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