Gen ai with java

Talent Worx is at the forefront of innovation and is looking for a talented GEN AI with Java developer to join our dynamic team. In this role, you will be responsible for developing cutting-edge applications that leverage generative AI technologies alongside Java to solve complex problems and improve user experiences. You will collaborate with cross-functional teams to design and implement solutions that incorporate state-of-the-art AI models. Location: Bangalore , Pune Requirements Key Responsibilities: Design, develop, and implement applications using Java in conjunction with generative AI technologies Work on deploying and optimizing AI models in software applications Collaborate with data scientists and machine learning engineers to integrate AI solutions into existing systems Develop APIs to facilitate data exchange and AI functionalities Conduct performance tuning and testing to ensure high-level application performance Stay updated on the latest trends and advancements in AI and Java technologies and apply them to development efforts Participate in code reviews and contribute to the development of standards and best practices Required Skills and Qualifications: 10 -15years of experience in software development with a focus on Java Familiarity with generative AI concepts and technologies Basic understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Experience with RESTful APIs and web services Familiarity with version control systems like Git Strong analytical and problem-solving skills Ability to work effectively in a collaborative, fast-paced environment Excellent communication skills Preferred Skills: Exposure to cloud platforms (e.g., AWS, Azure) for AI model deployment Knowledge of containerization technologies (e.g., Docker). Experience in writing unit tests and contributing to quality assurance Understanding of Agile development methodologies Education: Bachelor's degree in Computer Science, Engineering, or a related field Benefits Work with BFSI Clint Show more Show less