Job Overview

Capgemini is hiring for a Gen AI Vertex AI role in Gurgaon (Gurugram). The position focuses on developing and delivering AI solutions using Vertex AI and related Google Cloud services, with work involving machine learning, natural language processing, and generative AI models.

The role calls for strong Python skills, practical experience with generative AI, and the ability to build service endpoints with Flask or FastAPI. Candidates should also be familiar with prompt design and tuning, embeddings, and vector stores.

Key Responsibilities

• Deliver AI solutions using Vertex AI and apply hands-on experience with the platform.
• Work with generative AI models, including Gemini and Vertex Search, as part of AI solution development.
• Use Google Cloud services such as Vertex AI, Cloud Functions, Pub/Sub, and BigQuery.
• Build endpoints using Flask or FastAPI to support AI solutions.
• Apply knowledge of NLP, machine learning, deep learning frameworks, and Transformer models such as BERT.
• Use prompt design and tuning, embeddings, and vector stores in relevant generative AI workflows.

Required Skills

• Python: Strong programming skills.
• AI and machine learning: Knowledge of NLP and ML, plus practical experience with generative AI models.
• Vertex AI: Proven experience delivering AI solutions on Vertex AI.
• Deep learning frameworks: Experience with TensorFlow, PyTorch, and JAX.
• Google Cloud: Hands-on familiarity with Vertex AI, Cloud Functions, Pub/Sub, and BigQuery.
• Generative AI: Practical experience with Gemini and Vertex Search, and familiarity with prompt design or tuning, embeddings, and vector stores.
• API development: Ability to build endpoints using Flask or FastAPI.
• Analytical skills: Problem-solving and analytical capabilities.

Additional Knowledge

• Transformer models: Knowledge of models such as BERT.
• Professional certification: A Professional ML Engineer certification is preferred.

Technologies

• Python
• TensorFlow
• PyTorch
• Natural Language Processing (NLP)
• Machine Learning
• Google Cloud Platform
• Google Cloud Functions
• BigQuery
• Flask
• FastAPI
• Prompt Engineering

Education and Experience

The job description does not specify a required degree, academic branch, or minimum or maximum number of years of experience. It does ask for proven experience delivering AI solutions on Vertex AI. A Professional ML Engineer certification is preferred.

Work Mode and Location

The position is based in Gurgaon, mapped to Gurugram in the SoftoJobs location list. Capgemini describes the work arrangement as hybrid, with flexible work arrangements intended to support work-life balance.

Career Development

Capgemini states that it supports career growth and professional development. The description highlights certification and training programmes covering current technologies, including generative AI, Vertex AI, and Google Cloud.

Who Should Apply

This opportunity may suit candidates with strong Python skills, experience delivering AI solutions on Vertex AI, and practical knowledge of generative AI and machine learning. Applicants should be comfortable working with cloud services and building endpoints using Flask or FastAPI. Familiarity with Transformer models, prompt tuning, embeddings, and vector stores is relevant to the role.

How to Apply

Review the opportunity details and submit your application through the provided Capgemini application link. Apply now through SoftoJobs to explore this opportunity.