Generative AI Engineer - Data Modeling

Job Description : We are seeking a highly motivated and experienced Generative AI Engineer to join our innovative team. In this role, you will be at the forefront of developing cutting-edge Generative AI models and algorithms, driving the creation of unique and impactful experiences. You will collaborate closely with our research team to design, implement, and optimize Generative AI solutions that address complex challenges and meet the evolving needs of our clients and customers. Responsibilities : - Design and implement advanced Generative AI models and algorithms using state-of-the-art techniques and tools. - Develop and optimize deep learning architectures for generative tasks. - Research and implement novel approaches to improve model performance and efficiency. - Collaborate with our research team to identify and define project requirements and objectives. - Translate business needs into technical specifications for Generative AI solutions. - Optimize Generative AI models and algorithms for performance, scalability, and efficiency. - Conduct performance analysis and implement optimizations to ensure real-time or near real-time processing. - Conduct thorough testing and validation of Generative AI models and algorithms to ensure accuracy and reliability. - Develop and implement evaluation metrics and methodologies. - Work closely with our engineering team to integrate Generative AI solutions into our products and services. - Deploy and maintain Generative AI models in production environments. - Stay up-to-date with the latest developments in Generative AI and machine learning. - Incorporate new techniques and technologies into our projects. - Contribute to research efforts and publications. Qualifications : - Bachelor's degree or higher in computer science, mathematics, artificial intelligence, or a related field. - 4 years of professional experience in developing Generative AI models and algorithms. - Proficiency in programming languages such as Python. - Strong experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. - Solid understanding of machine learning techniques and algorithms, including generative models (GANs, VAEs, Diffusion Models, etc.). - Experience with deep learning architectures and frameworks. - Knowledge of data preprocessing and feature engineering for generative models. - Experience with cloud computing platforms (AWS, GCP, Azure) for training and deploying models. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Ability to work independently and as part of a team. - A passion for AI and machine learning and a desire to push the boundaries of what's possible in the field. - Advanced degree (Master's or PhD) in a relevant field. - Publications in top-tier AI/ML conferences or journals. - Experience with specific generative tasks (image generation, text generation, audio generation, etc.). - Experience with large language models (LLMs). - Knowledge of distributed training and model optimization techniques. - Familiarity with MLOps practices and tools. (ref:hirist.tech)

Location: in, IN

Posted Date: 5/9/2025