Roles and Responsibilities-
Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation.
Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.
Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs.
Implement, fine-tune, and scale generative AI models in production settings, ensuring robust model performance and effective resource utilization.
Develop pipelines and frameworks for productive data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production.
Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability,



and scalability.
Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.

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Qualifications Required
Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus.‍
Experience: 4 - 8 Years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models.

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Skills and Experience Required
Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation
Machine Learning: Algorithms, Deep Learning, Neural Networks
Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tens

📌 Senior Engineer Secunderabad (India)
🏢 Fission Computer Labs Private
📍 India