Zensar latest Recruitment Drive for Freshers as a AI Application Developers . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
Zensar Technologies is a leading digital solutions and technology consulting company and a part of the RPG Group. The company helps global enterprises transform their businesses through modern technologies such as cloud computing, artificial intelligence, data analytics, and digital engineering.
Zensar has 11,800+ employees across 30+ global locations and serves more than 130 enterprise clients worldwide, helping them build innovative digital products and improve business performance. The company focuses on designing, engineering, and managing next-generation digital experiences for organizations across industries.
Zensar is conducting a recruitment drive for AI Application Developers / Gen AI Associates for fresh graduates interested in working with modern Artificial Intelligence and Generative AI technologies.
Selected candidates will work on AI-powered applications, prompt engineering, data annotation, and AI model improvement projects that support enterprise AI systems. Freshers will get exposure to AI workflows, data labeling, and prompt optimization that help train and improve large language models.
This role is ideal for candidates who want to start their career in Artificial Intelligence, Machine Learning, and Generative AI development.
Create and refine prompts for generative AI systems
Annotate and label datasets used for AI model training
Evaluate AI-generated responses for accuracy and relevance
Support development of AI-powered applications and workflows
Work with AI teams to improve model performance
Identify errors or inconsistencies in AI outputs
Maintain documentation for AI datasets and prompt strategies
Collaborate with data engineers and AI teams on model improvement cycles
Basic knowledge of Artificial Intelligence and Machine Learning
Understanding of Generative AI and prompt engineering
Familiarity with Python or other programming languages
Knowledge of data annotation and labeling concepts
Basic understanding of NLP (Natural Language Processing)
Strong analytical and problem-solving skills
Good communication and documentation abilities
Ability to work collaboratively in a team environment
Willingness to learn new AI tools and technologies
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