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Avenir Digital - Artificial Intelligence Engineer - Generative AI

5 - 6 years

0 Lacs

Posted:16 hours ago| Platform: Linkedin logo

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Job Description

Job Title : AI Engineer (Generative AI) Experience : 5-6 years overall, with a minimum of 1.5 years in Generative AI Location : Delhi Job Type : Full-time About the Role: We are looking for an experienced AI Engineer with a strong background in artificial intelligence and machine learning, particularly in Generative AI. The ideal candidate will have a deep understanding of deep learning models, natural language processing, and large language models (LLMs). This role involves designing, developing, and deploying AI solutions, optimizing model performance, and integrating AI into real-world applications. Key Responsibilities Design, develop, and deploy AI/ML models, with a focus on Generative AI applications. Research and implement state-of-the-art techniques in generative modeling (GANs, VAEs, Transformers, Diffusion Models, etc.). Fine-tune and optimize large language models (LLMs) for specific tasks. Work with unstructured data, including text, images, and audio, to build multi-modal AI solutions. Develop scalable AI pipelines and integrate models into production environments. Collaborate with cross-functional teams, including data engineers, software developers, and product managers. Ensure compliance with AI governance, ethical AI principles, and data privacy regulations. Stay up to date with the latest advancements in AI/ML and contribute to research initiatives. Required Skills And Qualifications 5-6 years of overall experience in AI/ML, with at least 1.5 years of hands-on experience in Generative AI. Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX. Experience in building, fine-tuning, and deploying LLMs and generative models. Knowledge of prompt engineering, reinforcement learning from human feedback (RLHF), and model optimization techniques. Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps best practices. Experience with NLP, computer vision, and multi-modal AI models. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications Experience in AI applications for the financial sector, healthcare, or other regulated industries. Knowledge of AI compliance, governance frameworks, and responsible AI principles. Familiarity with APIs, microservices, and deployment strategies for AI-powered applications. Experience contributing to open-source AI projects or publishing research papers. (ref:hirist.tech) Show more Show less

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