Spearhead the development and implementation of advanced AI and ML models, including both classification and regression models.
Drive the design and deployment of AI solutions on cloud platforms such as Azure and AWS.
Lead the digital transformation initiatives within the enterprise, leveraging AI and ML technologies.
Oversee the application of statistical analysis methods to derive insights and inform business decisions.
Champion the development of generative AI solutions to enhance business operations and customer experiences.
Direct the creation of natural language processing solutions to improve interaction with digital platforms.
Supervise the deployment of deep learning models to solve complex business problems.
Ensure the development of solutions as reusable capabilities, adhering to best-in-class architecture standards.
Guide the integration of microservices architecture into the technology framework of the enterprise.
Oversee the design and implementation of technology and solution architecture to support digital transformation efforts.
Collaborate with cross-functional teams to ensure the successful deployment of AI and ML solutions.
Monitor the performance of AI and ML models and make necessary adjustments to improve efficiency and accuracy.
Lead the team in staying abreast of the latest developments in AI, ML, and related technologies.
Promote a culture of continuous learning and innovation within the team.
Ensure adherence to industry best practices and compliance with company policies and regulations.
Foster a collaborative work environment that encourages creativity and innovation.
Communicate effectively with stakeholders to understand their needs and deliver solutions that meet those needs.
Provide mentorship and guidance to team members to enhance their skills and performance.
Participate in strategic planning and decision-making at the enterprise level.
Qualifications:
Hold a Bachelor's or Master's degree in Technology or Engineering.
Possess 13-17 years of experience in the field of AI, ML, and digital transformations.
Demonstrate proficiency in AI, Generative AI, Machine Learning, Natural Language Processing, Deep Learning, Deployment, and Cloud technologies (Azure, AWS).
Show a strong understanding of secondary skills such as Statistical Analysis, Digital Transformations, Microservices Architecture, Solution Architecture, and Technology Architecture.
Exhibit experience in building and deploying various AI and ML models, including both Classification and Regression models.
Have experience in cloud-native developments.
Show evidence of having worked on solutions as reusable capabilities following best-in-class architecture.
Possess good communication skills to effectively interact with various stakeholders.
Have a track record of leading digital transformation initiatives in an enterprise setting.
Show evidence of continuous learning and staying updated with the latest developments in AI, ML, and related technologies.
Possess certifications in Data Sciences / Cloud technologies from hyperscalers would be an added advantage.
Have any notable publications in the field of AI, ML, or related technologies would be a plus.
Demonstrate strong leadership skills and the ability to mentor and guide a team.
Exhibit strong problem-solving skills and the ability to make sound decisions.
Show evidence of strong project management skills and the ability to deliver projects on time and within budget.
Possess strong analytical skills and the ability to derive insights from data.
Demonstrate a strong understanding of microservices architecture and its integration into the technology framework of an enterprise.
Have experience in designing and implementing technology and solution architecture to support digital transformation efforts.