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OnsiteMid Levelai/ml infra

AI Engineer IRC289894

GlobalLogicBengaluru, Karnataka, IndiaPosted 20 May 2026

GlobalLogic is seeking an AI Engineer in Bengaluru to join their digital product engineering team. The role focuses on designing, developing, and deploying machine learning and deep learning models for various industries. Candidates will handle data preprocessing, model fine-tuning, and MLOps pipeline implementation. Strong proficiency in Python and core ML frameworks is required for this role.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

GlobalLogic is seeking an AI Engineer in Bengaluru to join their digital product engineering team. The role focuses on designing, developing, and deploying machine learning and deep learning models for various industries. Candidates will handle data preprocessing, model fine-tuning, and MLOps pipeline implementation. Strong proficiency in Python and core ML frameworks is required for this role.

TAL's take

Quality 58/1005/5 clarityTier 2 company

Solid tier-2 company with a clearly defined technical role in AI/ML, though specific YOE requirements are absent.

The JD provides a clean, well-structured list of responsibilities and technical requirements, making the role expectations clear.

Salaries at GlobalLogic

16.4 LPA average

Based on 289 Grapevine salary entries for GlobalLogic.

View all salaries

Engineering

0 - 2 years | Level 1 ( one to three years experience)

6 LPA average

Range: 5 - 6 LPA

Engineering

2 - 4 years | B1

6 LPA average

Range: 5 - 6 LPA

Engineering

4 - 6 years | B2

11 LPA average

Range: 10 - 12 LPA

Engineering

6 - 8 years | B2

18 LPA average

Range: 10 - 33 LPA

Must haves

  • Bachelor’s/Master’s degree in Computer Science, AI, Data Science
  • Strong programming skills in Python
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Hands-on experience with data manipulation libraries
  • Experience in model deployment using APIs, Docker, or cloud platforms
  • Knowledge of SQL and large-scale datasets

Tools and skills

pythontensorflowpytorchscikit-learnpandasnumpydockerawsazuregcpsqlgit

Nice to have: generative ai, llms, openai, hugging face, langchain, vector databases, mlflow, kubeflow, airflow, ci/cd.

About the company

Established digital engineering services company with global presence, falling under tier 2 classification for non-FAANG service-oriented firms.

Posts mentioning GlobalLogic