Assistant Application Developer

As a Generative AI Engineer NLP Machine Learning Specialist at Fujitsu, your primary responsibility will be to design, develop, and deploy state-of-the-art generative AI models tailored for specific business needs. You will be expected to implement advanced Natural Language Processing (NLP) techniques such as text generation, summarization, translation, and sentiment analysis for AI-driven solutions. Additionally, you will apply cutting-edge Machine Learning and Deep Learning algorithms to enhance AI model accuracy and efficiency in real-world applications. Your role will also involve strong proficiency in Python (or R/Java) for developing and implementing AI models, leveraging frameworks like Hugging Face, OpenAI GPT, spaCy, and NLTK. You will customize pre-trained AI models for domain-specific use cases, optimizing them for performance, scalability, and efficiency. Furthermore, you will develop, deploy, and maintain AI models in production environments using FastAPI, Django, and MLOps tools such as Docker, Kubernetes, and CI/CD pipelines. In addition to the primary skills mentioned above, your secondary responsibilities will include working with data processing frameworks such as Apache Spark, Pandas, PyTorch, NumPy, Scikit-learn, and TensorFlow to prepare high-quality training datasets. You will also develop intelligent chatbots and conversational AI applications using NLP techniques, integrate with business applications, and build and maintain alerting pipelines for proactive incident detection and resolution. Moreover, you are expected to have strong knowledge of cloud platforms like GCP, AWS, and Azure to deploy and scale AI applications efficiently in cloud environments. You will actively contribute to open-source AI projects, improving and innovating existing LLMs and generative AI technologies. Additionally, you should be aware of AI fairness, ethical considerations, and techniques to mitigate biases in generative AI models. Please note that relocation support and visa sponsorship are not approved for this position. At Fujitsu, we value inclusive recruitment processes that consider the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds strengthens our team and allows us to draw on a broader range of perspectives and life experiences. Join us in Pune, Noida, Chennai, or Bengaluru and contribute to cutting-edge AI projects at Fujitsu. As a Generative AI Engineer NLP Machine Learning Specialist at Fujitsu, your primary responsibility will be to design, develop, and deploy state-of-the-art generative AI models tailored for specific business needs. You will be expected to implement advanced Natural Language Processing (NLP) techniques such as text generation, summarization, translation, and sentiment analysis for AI-driven solutions. Additionally, you will apply cutting-edge Machine Learning and Deep Learning algorithms to enhance AI model accuracy and efficiency in real-world applications. Your role will also involve strong proficiency in Python (or R/Java) for developing and implementing AI models, leveraging frameworks like Hugging Face, OpenAI GPT, spaCy, and NLTK. You will customize pre-trained AI models for domain-specific use cases, optimizing them for performance, scalability, and efficiency. Furthermore, you will develop, deploy, and maintain AI models in production environments using FastAPI, Django, and MLOps tools such as Docker, Kubernetes, and CI/CD pipelines. In addition to the primary skills mentioned above, your secondary responsibilities will include working with data processing frameworks such as Apache Spark, Pandas, PyTorch, NumPy, Scikit-learn, and TensorFlow to prepare high-quality training datasets. You will also develop intelligent chatbots and conversational AI applications using NLP techniques, integrate with business applications, and build and maintain alerting pipelines for proactive incident detection and resolution. Moreover, you are expected to have strong knowledge of cloud platforms like GCP, AWS, and Azure to deploy and scale AI applications efficiently in cloud environments. You will actively contribute to open-source AI projects, improving and innovating existing LLMs and generative AI technologies. Additionally, you should be aware of AI fairness, ethical considerations, and techniques to mitigate biases in generative AI models. Please note that relocation support and visa sponsorship are not approved for this position. At Fujitsu, we value inclusive recruitment processes that consider the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds strengthens our team and allows us to draw on a broader range of perspectives and life experiences. Join us in Pune, Noida, Chennai, or Bengaluru and contribute to cutting-edge AI projects at Fujitsu.