15h Left Gen Ai/Senior Software Engineer

2 weeks ago

Pune India HSBC Full time

Job Description Some Careers Shine Brighter Than Others. If you're looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer In This Role, You Will - Design, develop, and fine-tune Generative AI models (e.g., GPT, BERT, Stable Diffusion, etc.) for various use cases such as text generation, summarization, image generation, and more. - Build and deploy scalable AI/ML pipelines using Python and frameworks like TensorFlow, PyTorch, or Hugging Face. - Integrate Generative AI models into production systems and APIs for real-time or batch processing. - Collaborate with cross-functional teams to identify AI use cases and deliver end-to-end solutions. - Optimize model performance, reduce latency, and ensure scalability for production environments. - Conduct research and stay updated on the latest advancements in Generative AI and machine learning. - Work with large datasets, preprocess data, and ensure data quality for training and evaluation. - Implement monitoring and logging for deployed AI models to ensure reliability and performance. - Write clean, maintainable, and well-documented Python code for AI/ML projects. To be successful in this role, you should meet the following requirements: - Experience with fine-tuning and deploying Large Language Models (LLMs) like OpenAI GPT, Google T5, or similar. - Knowledge of Natural Language Processing (NLP) techniques such as tokenization, embeddings, and transformers. - Familiarity with MLOps tools and practices for model deployment, monitoring, and lifecycle management. - Experience with containerization tools like Docker and orchestration platforms like Kubernetes. - Understanding of ethical AI practices and bias mitigation in Generative AI models. - Experience in AWS / Cloud Technologies - Experience with banking systems - Familiarity with AGILE and Sca

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