Candidates should hold a Master’s / Graduation in Computer Science, Machine Learning, Artificial Intelligence, or a related field, and possess over 5 years of experience in machine learning, deep learning, and natural language processing. Proficiency in programming with Python and experience with key ML frameworks such as TensorFlow and PyTorch are required, along with expertise in generative AI LLM models and frameworks and a deep understanding of machine learning algorithms and neural networks.
The Senior Engineer will design, develop, and deploy innovative generative AI models, optimizing them for specific use cases, leading the training and fine-tuning of LLMs, enhancing performance through effective prompt engineering, identifying and mitigating model inaccuracies and hallucinations in generated content, collaborating with data scientists, software engineers, and product managers to build robust AI solutions, conducting research to advance the state-of-the-art in generative AI technologies, maintaining high-quality code while following best practices in software development and AI model deployment, mentoring junior engineers, and communicating project progress and technical concepts to diverse stakeholders.
Consulting firm for performance improvement and advisory
Riveron enhances business performance and explores new opportunities across various industries, including aerospace, healthcare, and technology. They provide tailored advisory services such as tax advisory, financial restructuring, and strategic consulting, acting as an extension of their clients' management teams. Riveron differentiates itself through a hands-on approach and a unified brand strategy that integrates multiple consulting firms, allowing for comprehensive solutions. Their goal is to help businesses navigate complex challenges and achieve strategic objectives.