Generative AI Developer
KeySkills
Company Name
Job Description
Job Description:
Capgemini is seeking passionate and skilled Generative AI Engineers with expertise in Google Cloud Platform (GCP) to join our AI & Data team. In this role, you will be responsible for designing, developing, and deploying AI-powered solutions using cutting-edge technologies like Vertex AI, Gemini models, and cloud-native tools.
Key Responsibilities:
Design, develop, and implement Generative AI / AI solutions on Google Cloud Platform.
Collaborate with cross-functional teams to build and deliver AI-powered applications and services.
Write, version, and execute Python code for AI/ML pipelines and services.
Deploy and manage models using Vertex AI, including model versioning, endpoint deployment, and monitoring.
Apply deep learning frameworks such as TensorFlow, PyTorch, or JAX to build advanced ML solutions.
Develop and fine-tune Natural Language Processing (NLP) and Machine Learning (ML) models.
Utilize GCP components such as Cloud Storage, Compute Engine, Cloud Functions, Pub/Sub, and Vertex AI Search.
Work hands-on with Generative AI tools in Vertex AI, including Gemini models, Vertex AI Studio, and related APIs.
Required Skills:
Strong proficiency in Python programming.
Solid understanding of machine learning and deep learning concepts.
Hands-on experience with Generative AI development using GCP.
Proven experience delivering AI/ML solutions using Vertex AI platform.
Familiarity with cloud-native ML services like Vertex AI Pipelines, Notebooks, and Model Registry.
Experience with TensorFlow, PyTorch, or JAX.
Proficiency in NLP, LLMs, and working with large-scale data.
Preferred Skills:
Hands-on with Gemini models, Vertex AI Search, or similar GenAI tools.
Experience integrating GCP AI services into production environments.
Understanding of DevOps, MLOps, or automated deployment pipelines on GCP.