Generative AI Engineer (#4424)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ 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 software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and 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

• Master's 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.