Experience and Skill:

• Expertise in predictive modelling with proven experience in deploying predictive analytics solutions
• Strong understanding and hands-on experience with GEN AI technologies and frameworks
• Extensive experiences on designing and implementing AI solutions on cloud (using AWS/Azure/GCP services) and on premise (using open-source technologies)
• Expertise in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants and design solutions using Gen AI/LLMs
• Solid foundation in machine learning algorithms and their practical applications
• Experience with data visualization tools to present complex data insights clearly and effectively
• Hands on knowledge of Python and related ecosystem of frameworks for model development and deployment (scikit-learn, Keras, tensorflow, pytorch)
• Sound understanding of NLP, Topic Modeling, Association algos and Deep Learning
• Knowledge of Big Data tools and computational analytics. Data processing using Spark/pyspark
• Strong quantitative analysis skills to derive actionable insights from data
• Proficiency in Python programming for building scalable AI/ML models and solutions
• Good to have - Graph data modelling, graph analytics/data science, graph dashboard/reports visualization and hands on graph analytics tools/dbs (e.g. neo4j/tigergraph, networkX, graphx)

Roles And Responsibilities

• Lead the design, development, and deployment of GEN AI solutions across various digital platforms
• Collaborate with cross-functional teams to integrate predictive modelling techniques into business processes
• Ensure the scalability and robustness of AI solutions in cloud-native environments
• Conduct data analysis and develop machine learning models to solve complex business problems
• Visualize data insights to communicate results and drive data-driven decision-making within the organization
• Stay updated with the latest advancements in AI and machine learning technologies
• Mentor and guide junior team members in AI/ML best practices and methodologies

Work closely with the product management team to align AI initiatives with business goals