Generative AI Engineer

Role Overview: As a Generative AI Engineer at our company, you will be an integral part of our dynamic team, leading the forefront of AI development. Your primary responsibility will be to design, build, and deploy cutting-edge generative models and applications, pushing the boundaries of artificial intelligence. If you are passionate about leveraging AI to drive innovation, we are excited to have you on board. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy. - Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases. - Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems. - Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition. - Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring. - Write clean, efficient, and well-documented code, primarily in Python. - Collaborate with cross-functional teams to deliver high-impact AI features. Qualification Required: - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - Proven hands-on experience in building and deploying Gen AI and Deep Learning models. - Strong proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain). - In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA). - Solid understanding of Neural Network fundamentals. - Experience with NLP, including text processing and embedding preparation (e.g., Word2Vec, GloVe, sentence transformers). - Practical experience implementing RAG pipelines and vector databases (e.g., Pinecone, ChromaDB). - Familiarity with APIs from major AI providers like OpenAI, Google. - Strong problem-solving skills and the ability to work independently and in a team environment. Additional Details: GlobalLogic, a Hitachi Group Company, is a digital engineering partner to leading global brands. Since 2000, GlobalLogic has been driving the digital revolution by creating innovative products and experiences. As part of the team, you can expect exciting projects across various industries, a collaborative environment with opportunities for professional development, excellent benefits, and fun perks to ensure a satisfying work-life balance. Role Overview: As a Generative AI Engineer at our company, you will be an integral part of our dynamic team, leading the forefront of AI development. Your primary responsibility will be to design, build, and deploy cutting-edge generative models and applications, pushing the boundaries of artificial intelligence. If you are passionate about leveraging AI to drive innovation, we are excited to have you on board. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy. - Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases. - Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems. - Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition. - Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring. - Write clean, efficient, and well-documented code, primarily in Python. - Collaborate with cross-functional teams to deliver high-impact AI features. Qualification Required: - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - Proven hands-on experience in building and deploying Gen AI and Deep Learning models. - Strong proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain). - In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA). - Solid understanding of Neural Network fundamentals. - Experience with NLP, including text processing and embedding preparation (e.g., Word2Vec, GloVe, sentence transformers). - Practical experience implementing RAG pipelines and vector databases (e.g., Pinecone, ChromaDB). - Familiarity with APIs from major AI providers like OpenAI, Google. - Strong problem-solving skills and the ability to work independently and in a team environment. Additional Details: GlobalLogic, a Hitachi Group Company, is a digital engineering partner to leading gl