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:
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Design, develop, and implement Generative AI / AI solutions on Google Cloud Platform.
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Collaborate with cross-functional teams to build and deliver AI-powered applications and services.
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Write, version, and execute Python code for AI/ML pipelines and services.
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Deploy and manage models using Vertex AI, including model versioning, endpoint deployment, and monitoring.
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Apply deep learning frameworks such as TensorFlow, PyTorch, or JAX to build advanced ML solutions.
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Develop and fine-tune Natural Language Processing (NLP) and Machine Learning (ML) models.
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Utilize GCP components such as Cloud Storage, Compute Engine, Cloud Functions, Pub/Sub, and Vertex AI Search.
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Work hands-on with Generative AI tools in Vertex AI, including Gemini models, Vertex AI Studio, and related APIs.
Required Skills:
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Strong proficiency in Python programming.
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Solid understanding of machine learning and deep learning concepts.
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Hands-on experience with Generative AI development using GCP.
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Proven experience delivering AI/ML solutions using Vertex AI platform.
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Familiarity with cloud-native ML services like Vertex AI Pipelines, Notebooks, and Model Registry.
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Experience with TensorFlow, PyTorch, or JAX.
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Proficiency in NLP, LLMs, and working with large-scale data.
Preferred Skills:
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Hands-on with Gemini models, Vertex AI Search, or similar GenAI tools.
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Experience integrating GCP AI services into production environments.
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Understanding of DevOps, MLOps, or automated deployment pipelines on GCP.
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