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GenAI Developer
NagarroBengaluru, Karnataka, India4 hours ago
Job descriptionUnderstanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
Role : Generative-AI Developer
Required Experience : 5 - 10 years
Job Location : Bengaluru
Job Description :
Must Have Skills : Generative AI Fundamentals, Machine Learning, Python
Job Description
- Total experience 5+ years.
- Deep understanding of Generative AI fundamentals and transformer-based architectures.
- Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems.
- Hands on working experience in working with Generative AI models.
- Strong working experience in Azure AI.
- Proven experience with BERT, GPT, LLaMA, and similar LLMs.
- Strong hands-on experience in prompt engineering and RAG techniques.
- Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent.
- Familiarity with multi-agent AI systems and collaborative model workflows.
- Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow).
- Experience integrating models into enterprise platforms and APIs.
- Understanding of ML Ops practices and CI / CD pipelines for AI deployment.
- Background in Natural Language Processing (NLP) and Knowledge Engineering.
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Developer • Bengaluru, Karnataka, India