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Generative AI Engineer

2 months ago

Chennai, India Revature Full time

Job Title: Generative AI Engineer (3+ Years Experience)


Location: Chennai


About us:

We are seeking a Generative AI Engineer to help develop, deploy, and scale AI-powered solutions that transform data into actionable insights and cutting-edge applications. You will collaborate with our team of data scientists, engineers, and product managers to drive innovation and support our commitment to delivering impactful AI solutions.


Position Summary:

As a Generative AI Engineer, you will work on developing models, pipelines, and platforms leveraging cloud infrastructure to create and maintain scalable AI solutions. You will design, train, and fine-tune generative models and work with state-of-the-art AI frameworks and tools in cloud environments like AWS, Google Cloud Platform (GCP), or Microsoft Azure.


Key Responsibilities:

· Design, develop, and implement generative AI models, including text, image, and other multimodal models, to solve complex problems.

· Collaborate with data scientists and product teams to understand requirements, propose solutions, and deploy generative AI applications on cloud platforms.

· Develop end-to-end model training pipelines and automate workflows for scalable and efficient model management.

· Fine-tune, optimize, and deploy generative models using cloud-based ML services and frameworks.

· Monitor and evaluate model performance, implementing improvements and retraining as needed.

· Ensure security, compliance, and efficiency in handling data and deploying models within the cloud infrastructure.

· Stay updated on industry advancements, and integrate new techniques and technologies into ongoing projects.


Required Skills and Experience:

· 3+ years of experience working in AI/ML, with a focus on generative AI applications (such as GPT, DALL-E, or Stable Diffusion models).

· Proficiency in Python and popular AI/ML frameworks (e.g., Tensor Flow, Py Torch).

· Experience deploying and scaling AI models on any of these cloud platforms (AWS, GCP, or Azure).