Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

1. Responsibilities:

• Hands-on design, development, and deployment of advanced AI models and algorithms to solve complex business problems.
• - Foster agility within the team, promoting adaptive planning, evolutionary development, and continuous improvement.
• - Provide strategic direction and leadership for all AI initiatives.
• - Oversee the work of AI Leads and their teams, ensuring alignment with the broader company goals.
• - Drive the formulation, planning, and execution of AI projects, ensuring they are completed on time and within scope.
• - Collaborate with senior management and key stakeholders to define AI strategy and priorities.
• - Ensure the quality, robustness, and scalability of AI systems and models deployed.
• - Facilitate cross-functional collaboration to integrate AI solutions into various business units and processes.
• - Keep abreast of industry trends, emerging technologies, and research advancements, applying these insights to ongoing projects.
• - Uphold the highest standards of data confidentiality, security, and ethical considerations in all AI applications.
• - Communicate AI insights and strategic recommendations to executive leadership and other stakeholders in a clear and compelling manner.

1. Job requirements:

• Degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• - A minimum of 10 years of experience in AI and data science, with at least 5 years in a hands on and leadership role.
• - Hands-on experience in successfully managing and delivering large-scale AI projects.
• - Proven track record of delivering impactful AI solutions in a business context.
• - Extensive knowledge of machine learning algorithms, natural language processing, computer vision, generative AI, and other cutting-edge AI technologies.
• - Proficiency in programming languages such as Python and expertise with AI frameworks such as TensorFlow, PyTorch, and scikit-learn.
• - Strong understanding of software engineering principles, data architecture, and version control systems (e.g., Git).
• - Demonstrated ability to lead multidisciplinary teams, mentor AI professionals, and foster a culture of continuous learning and improvement.
• - Excellent strategic thinking, problem-solving, and analytical skills.
• - Agility in managing and adapting to changing project requirements and priorities.
• - Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• - Strong business acumen and the ability to align AI efforts with organisational goals and objectives.
• At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email Infosys_ta@infosys.com or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.
• Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.
  
  "All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.