Generative AI Engineer

N-iXis a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002 we unite 2400 tech-savvy professionals across 40 countries working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud data AI/ML embedded softwareIoT and more driving digital transformation across finance manufacturing telecom healthcare and other industries. JoinN-iXand become part of a team where your ideas make a real impact.

Technology Office designs and executes industry-relevant inventions that allow organizations to realize exceptional business value from technology. We specialize in developing innovative solutions that leverage Generative AI to create intelligent systems capable of autonomous decision-making and creative problem-solving. As we continue to pioneer advancements in AI we are seeking a talented and motivated Generative AI Engineer to join our dynamic team.

Responsibilities

• Adopting and fine tuning generative AI models and algorithms.
• Collaborating with cross-disciplinary teams to define project requirements and objectives for AI initiatives ensuring alignment with overall business objectives.
• Engaging in continuous research to stay abreast of the latest developments in generative AI machine learning and deep learning techniques and identifying opportunities for their integration into our products and services.
• Enhancing the performance scalability and efficiency of existing generative AI models through optimization efforts.
• Generating documentation including technical specifications user guides and presentations to effectively communicate intricate AI concepts to both technical and non-technical stakeholders.
• Contributing to the establishment of organizational best practices and standards for the development of generative AI.

Requirements

• Masters or Ph.D. in Computer Science Machine Learning or a related field.
• Strong background in machine learning deep learning and generative models.
• Conversational English level (B2).
• Experience with major cloud providers such as AWS Azure.
• Proficiency in programming languages such as Python.