Zenser sending Assessment email for GEN AI – Annotation | Labeling | Prompt position Full Time

Zenser sending Assessment email for GEN AI – Annotation | Labeling | Prompt position . 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 Gurugram and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Active Superset Hiring For Freshers

About Company :

Zensar stands out as a premier technology consulting and services company, embracing an ‘experience-led everything’ philosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, services, and solutions to deliver superior engagement to high-growth companies. This full lifecycle capability – from experience to engineering to engagement – is what makes us unique. This integrated approach also means that we harness the power of technology, creativity, and insight to deliver impact — ensuring our work focuses not just on technology but also on the people who use it.

Job Overview:

Zensar is hiring fresh graduates for multiple projects in GEN AI enviorment which may involves – Annotation, Labeling or Prompt engineering.The ideal candidate will possess strong problem-solving abilities, effective communication skills, and a willingness to learn technical tools and processes related to data collection.

If this opportunity excites you, please submit the required details in the form provided below.

The Work Mode may involve work from office OR work from home depending on your final interview selection. This would be communicated through our assessment process. Fresher Salary range would be starting from 3 LPA and based on Interview merits.

🛑16 ATS Friendly Job Wining templates  : Click here 🛑

Key Responsibilities

• Design, train, and fine-tune Generative AI models (LLMs, Diffusion Models, Transformers, GANs, etc.).
• Develop scalable pipelines for training, inference, and deployment of generative AI systems.
• Collaborate with product and research teams to identify business problems where Gen AI can be applied.
• Implement prompt engineering and fine-tuning techniques to optimize performance.
• Work with APIs and frameworks (OpenAI, Hugging Face, LangChain, TensorFlow, PyTorch).
• Ensure data quality, security, and compliance in AI workflows.
• Conduct experiments, evaluations, and benchmarking for AI models.
• Stay up-to-date with the latest AI/ML research, tools, and best practices.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related field.
• Strong foundation in Machine Learning, Deep Learning, and NLP.
• Hands-on experience with transformer architectures (BERT, GPT, LLaMA, etc.).
• Proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face, LangChain).
• Knowledge of data preprocessing, embeddings, and vector databases (Pinecone, FAISS, Weaviate).
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Strong problem-solving skills and ability to work in a collaborative environment.