Design and architect robust and scalable machine learning systems from concept to production.
Collaborate closely with data scientists, engineers, and stakeholders to understand business requirements and translate them into technical solutions with detailed road maps including the tech stack.
Provide architecture designs that consider functionality, cost, performance, scalability, reusability, security, and extensibility.
Define and facilitate the architecture processes, including the reporting and oversight of architecture deployment.
Advanced understanding of statistics with 5-10 years of experience on data science related algorithms and implementation of analytics solutions in predictive analytics, Generative AI added advantage.
Leads efforts to foster innovative ideas for developing high impact solutions.
Stay informed about the latest advancements in machine learning and integrate cutting-edge technologies into architectural decisions
Good to have experience in leading a team of Data Architecture, Data & Analytics, and project teams to translate business requirements that document data solution architecture
5+ years' experience in developing ML&AI related solutions on Public Cloud platforms like AWS and Azure.
Demonstrated deep ML&AI (Data Science) related knowledge & experience using ML & AI related tools and environments like AWS ML & AI Tools, Apache Mahout, TensorFlow, Scikit-learn, PyTorch, Keras and some of the older Data Science tools like Python, SAS, R,
Candidates with experience in BFSI domain are preferred
