Gen AI Developer Associate at HEXAWARE
, , India -
Full Time


Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, TensorFlow, PyTorch, Scikit-learn, Machine Learning, Natural Language Processing, Generative AI, Linear Algebra, Probability, Statistics, Data Preprocessing, Feature Engineering, Model Evaluation, GPT

Industry

IT Services and IT Consulting

Description
Job Summary: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. The ideal candidate will have strong programming skills, solid mathematical foundations, and a keen interest in developing innovative AI solutions.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.
Responsibilities
Develop and implement machine learning models focusing on generative AI and NLP applications. Responsibilities include data preprocessing, model evaluation, and deploying AI models into production environments.
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