Hexaware Gen AI Developer Associate – Freshers Hiring 2026




Hexaware is inviting applications for the Gen AI Developer Associate position in India. This opportunity is aimed at fresh graduates and professionals with up to 1 year of experience who are interested in Generative AI, Machine Learning, Natural Language Processing (NLP) and AI application development.

Job Highlights

Company: Hexaware

Job Role: Gen AI Developer Associate

Job ID: 605215

Location: India

Experience: Freshers / Up to 1 Year

Job Category: Generative AI / Machine Learning / NLP

Employment Type: Full-time

About the Gen AI Developer Associate Role

The Gen AI Developer Associate role is designed for candidates who want to begin their career in emerging artificial intelligence technologies. The selected candidates may work on AI solutions involving Machine Learning, Natural Language Processing and Generative AI.

Candidates should have a strong interest in learning new AI technologies, developing practical solutions and working with programming and machine learning frameworks.

Key Responsibilities

As part of the AI development team, candidates may be involved in:

  • Developing and implementing Machine Learning models.
  • Working on Generative AI and NLP-based applications.
  • Preparing and preprocessing datasets for machine learning projects.
  • Performing feature engineering and model evaluation.
  • Exploring recent developments in Generative AI and Natural Language Processing.
  • Writing clean, efficient and maintainable Python code.
  • Documenting code and development processes.
  • Supporting the deployment of AI and Machine Learning models.
  • Helping maintain AI solutions in production environments.

Required Skills

Candidates should have a foundational understanding of programming, mathematics and artificial intelligence concepts.

  • Strong programming knowledge, preferably Python.
  • Basic understanding of Machine Learning.
  • Knowledge of supervised and unsupervised learning.
  • Understanding of Natural Language Processing concepts.
  • Familiarity with Generative AI technologies.
  • Basic knowledge of models such as GPT.
  • Familiarity with Machine Learning libraries.
  • Problem-solving and analytical skills.
  • Willingness to learn new AI technologies.

Machine Learning Libraries

Familiarity with one or more popular Machine Learning frameworks or libraries can be beneficial for this position.

  • TensorFlow
  • PyTorch
  • Scikit-learn

Generative AI Knowledge

Candidates interested in this role should have a basic understanding of Generative AI and how modern AI models can be used to generate or process text and other forms of content.

Familiarity with technologies and concepts related to GPT and Large Language Models (LLMs) can be useful when preparing for this opportunity.

Educational Qualification

Required Education: Bachelor's degree in Computer Science, Mathematics, Engineering or a related discipline.

Experience: Fresh graduates and professionals with up to 1 year of experience.

Mathematics Knowledge

A good mathematical foundation can help candidates understand and work with Machine Learning algorithms.

Relevant areas include:

  • Linear Algebra
  • Probability
  • Statistics

Who Can Apply?

This opportunity may be suitable for:

  • Recent graduates looking to enter the AI industry.
  • Computer Science and Engineering graduates.
  • Engineering graduates with an interest in Artificial Intelligence.
  • Candidates with basic Python programming knowledge.
  • Candidates who have learned Machine Learning or NLP.
  • Applicants interested in Generative AI and Large Language Models.
  • Professionals with up to one year of relevant experience.

Important Skills to Prepare

Skill Area Recommended Topics
Python Programming fundamentals, functions, OOP, libraries
Machine Learning Supervised learning, unsupervised learning, model evaluation
NLP Text processing, tokenization, embeddings and NLP fundamentals
Generative AI GPT, LLM fundamentals and generative AI concepts
Mathematics Linear algebra, probability and statistics

Gen AI Developer Associate – Job Details

Company Hexaware
Position Gen AI Developer Associate
Job Identification 605215
Location India
Experience Freshers / Up to 1 Year
Degree Bachelor's Degree

How to Apply

Interested and eligible candidates can apply through the official Hexaware careers portal. Candidates are advised to review the complete job requirements before submitting their application.

Official Job ID: 605215

Selection Preparation Tips

Candidates preparing for this role should focus on Python programming, Machine Learning fundamentals, NLP concepts and Generative AI basics. Revising linear algebra, probability and statistics can also be helpful.

Building a small AI project using Python, an ML framework or an LLM-based application can also help demonstrate practical knowledge during the recruitment process.

Frequently Asked Questions

1. Who is eligible for the Gen AI Developer Associate role?

The opportunity is intended for fresh graduates and professionals with up to one year of experience who have relevant educational and technical knowledge.

2. What programming language is preferred?

Python is the preferred programming language mentioned for this role.

3. What AI skills are useful for this position?

Basic knowledge of Machine Learning, NLP, Generative AI, GPT-based models, model evaluation and relevant ML libraries can be useful.

4. Is this a fresher opportunity?

Yes. The job description specifically mentions fresh graduates and professionals with up to one year of experience.

5. Where is the job located?

The listed location is India. Candidates should check the official recruitment page for the latest location and work arrangement details.

Important Disclaimer

This article is intended for informational and career-awareness purposes. It is not an official publication of Hexaware. Job availability, eligibility requirements, selection procedures and other recruitment details may change. Candidates should verify the latest information on the official Hexaware careers portal before applying.

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