Hexaware Technologies Gen AI Developer Associate Recruitment 2026 – Freshers

Published on: September 21, 2026
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Hexaware Technologies Gen AI Developer Associate Recruitment 2026 – Freshers

Hexaware Technologies Gen AI Developer Associate Recruitment 2026: Hexaware Technologies is hiring fresh graduates and candidates with up to 1 year of experience for the Gen AI Developer Associate role in India. This opportunity is suitable for candidates interested in Generative AI, Machine Learning, Natural Language Processing (NLP), and Python programming.

The role provides an opportunity to work on AI-based solutions, machine learning models, and emerging Generative AI technologies.

Job Overview

Job Details Information
Company Hexaware Technologies
Job Role Gen AI Developer Associate
Job ID 605215
Experience Freshers / Up to 1 Year
Location India
Employment Type Full-Time
Recruitment Lane Not Applicable
Qualification Bachelor’s Degree
Apply Mode Online

Job Responsibilities

Selected candidates may be responsible for:

  • Developing and implementing machine learning models.
  • Working on Generative AI and NLP applications.
  • Performing data preprocessing and feature engineering.
  • Evaluating machine learning models and their performance.
  • Researching and experimenting with new developments in Generative AI and NLP.
  • Writing clean, efficient, and well-documented code.
  • Supporting the deployment and maintenance of AI models in production environments.

Eligibility Criteria

Candidates should meet the following requirements:

  • Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
  • Fresh graduates or professionals with up to 1 year of experience can apply.
  • Strong programming knowledge, preferably Python.
  • Familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Basic understanding of supervised and unsupervised Machine Learning.
  • Knowledge of Natural Language Processing concepts and techniques.
  • Familiarity with Generative AI models such as GPT.
  • Understanding of linear algebra, probability, and statistics.
  • Good problem-solving and analytical skills.
  • Willingness to learn new AI technologies.

Skills Required

Key skills for this position include:

  • Python
  • Machine Learning
  • Generative AI
  • Natural Language Processing
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Data Preprocessing
  • Feature Engineering
  • Linear Algebra
  • Probability and Statistics
  • Problem Solving

Who Can Apply?

This opportunity can be suitable for fresh graduates and candidates with up to one year of experience who have a strong interest in AI and want to build their career in Generative AI, Machine Learning, and NLP.

Candidates with academic projects, certifications, or hands-on experience in Python, Machine Learning, or Generative AI may find the role relevant to their skills.

How to Apply

Interested and eligible candidates can apply through the Apply Now option provided in the original Hexaware Technologies job posting.

Application Process

  1. Visit the Hexaware Technologies careers page.
  2. Search for Gen AI Developer Associate or Job ID 605215.
  3. Read the eligibility criteria and job requirements carefully.
  4. Complete the online application form and upload your updated resume.
  5. Submit the application and follow the further recruitment process communicated by Hexaware Technologies.
  6. Apply Link – Click Here

Conclusion

The Hexaware Technologies Gen AI Developer Associate Recruitment 2026 is an opportunity for fresh graduates and early-career professionals interested in building a career in Generative AI, Machine Learning, and NLP. Candidates with Python programming skills and a strong foundation in mathematics and AI concepts can consider applying for this position.

About Hexaware Technologies

Hexaware Technologies is a global technology services company that works across areas such as digital transformation, cloud, automation, data, and artificial intelligence. The company provides technology solutions and services to organizations across different industries.

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