Hexaware Off Campus Drive 2026 | Hiring Gen AI Developer Associate | Last Date: 30/06/2026
Hexaware Off Campus Drive 2026 – Hexaware Technologies scheduled to hire Freshers for Gen AI Developer Associate. The detailed eligibility and application process are given below.
Hexaware Off Campus Drive 2026 Details:
Job Role : Gen AI Developer Associate
Qualification : Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field.
Batch : 2024/2025/2026
Experience: Fresh Graduates
Job Location : PAN India
Last Date to Register : 30/06/2026
Job Description:
We are looking for a fresh graduates or professionals with up to 1 year of experience to kickstart their career in cutting-edge AI technologies, passionate and talented Generative AI Engineer with foundational knowledge in Machine Learning, Natural Language Processing (NLP), and Generative AI
Key Responsibilities:
- Develop and implement machine learning models, with focus on generative AI and NLP applications.
- Work on data preprocessing, feature engineering, and model evaluation.
- Research and experiment with the latest advancements in generative AI and NLP.
- Write clean, efficient, and well-documented code
- Assist in deploying and maintaining AI models in production environments.
Required Skills and Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field.
- Strong programming skills in Python (preferred) and familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Basic understanding of Machine Learning concepts including supervised and unsupervised learning.
- Knowledge of Natural Language Processing techniques and tools.
- Familiarity with generative AI models such like as GPT etc.
- Solid foundation in mathematics, including linear algebra, probability, and statistics.
- Ability to work independently and as part of a team.
- Good problem-solving skills and eagerness to learn new technologies.
How to Apply for Hexaware Off Campus Drive 2026?
All interested and eligible candidates can apply for this position online by the following link on or before 30 June2026.
Application Link: Click Here
Note: Shortlisted candidates will be updated on details of virtual assessments and interviews.
Subscribe Here (Check Your Email To Activate Confirmation Link)
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