AI Architect

The AI Architect is responsible for consulting with clients to understand their AI/ML and analytics needs, as well as delivering AI/ML applications to meet those needs. Working closely with internal business units and clients, you will translate business problems into data science problems and design intelligent solutions that provide value to stakeholders. Collaboration with the data engineering team is essential to identify relevant data and preprocess it for modeling. Developing statistical machine learning models and AI models using appropriate tools and frameworks is a key aspect of the role. Additionally, you will collaborate with the business intelligence team to create BI systems and visualizations that convey insights from data science models effectively. Delivering AI/ML solutions as microservices in partnership with the application team is also part of the job scope. The ideal candidate will hold a Masters/Bachelors degree in Computer Science, Statistics, or Economics, with at least 6 years of experience in the Data Science field. A deep understanding of Machine Learning models and algorithms, along with experience in analyzing complex business problems and translating them into data science solutions, is required. Proficiency in various Machine Learning algorithms and frameworks, such as TensorFlow and knowledge of programming languages like Python/R, is essential. Moreover, familiarity with SQL, Relational Databases, NoSQL Databases, Datawarehouse concepts, and cloud architectures like AWS/Azure is necessary. Experience in deploying AI/ML models using Flask, Azure function, AWS Lambda, and knowledge of BI and visualization tools like Tableau/PowerBI/Qlik/Plotly would be advantageous. Soft skills such as being a team player, effective communicator, proactive problem solver, and capable leader are essential for this role. Managing and nurturing a team of data scientists, as well as demonstrating a keen interest in numbers and patterns, are also desired qualities.,