AI Architect

Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems. Design intelligent data science solutions that delivers incremental value the end stakeholders. Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models. Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks. Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. Work closely with application team to deliver AI/ML solutions as microservices. Job Specification / Skills and Competencies Masters/Bachelor’s in Computer Science or Statistics or Economics. At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems. Deep understanding of Machine Learning models and algorithms. Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same. Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression, Time Series. Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. NLP, Text Mining, LLM (GPTs). Deep Learning, Reinforcement learning algorithm. Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. Understanding of and experience of building machine learning models using various packages in one or more of the programming languages-Python / R. Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts. Understanding of AWS/Azure Cloud architecture. Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda). Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc.). Soft Skills Required Must be a good team player with good communication skills. Must have good presentation skills. Must be a pro-active problem solver and a leader by self. Manage & nurture a team of data scientists. Desire for numbers and patterns. Any Additional Information/Specifics To adhere to the Information Security Management policies and procedures.