Skills:
Natural Language Processing (NLP), Predictive Modeling, azure, python, big data tool, AI/ML, PySpark, GEN AI technologies and frameworks,

Job Description - AI Platform Architect

As an AI Platform Architect, you would be responsible for to design and deploy AI services including generative AI in hybrid cloud environments. You would work closely with cloud infrastructure, sales and pre-sales teams in defining AI services

What Youll Be Doing

• 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.
  
  

What We Need To See

• 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
• Experience deploying AI or GPU systems at scale within a cloud service provider or hyper-scale company
  
  

Ways To Stand Out From The Crowd

• 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)
• Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field