Teams at CloudThat

Designs and validates scalable machine learning and data architectures, guides implementations, resolves complex technical issues, mentors junior team members, conducts code reviews, and translates business needs into AI/ML solutions. The role also researches advanced AI techniques and frameworks and supports project delivery through best practices. Required expertise includes ML frameworks, statistical modeling, model training and fine-tuning, Spark, PySpark, scalable data pipelines, mentoring, and AWS machine learning and developer certifications.

Design cloud-native data and AI architectures, including data lakes, warehouses, ETL/ELT pipelines, real-time streaming systems, and infrastructure as code. Review architectural patterns, optimize performance and costs, align delivery with business objectives, support client presentations and workshops, and mentor junior team members. The role requires cloud solution design experience across AWS or Azure, knowledge of data and AI patterns, AI algorithm evaluation, communication skills, and an AWS Certified Solutions Architect Professional certification.

Designs cloud-native data and AI architectures, including data lakes, warehouses, ETL/ELT pipelines, real-time streaming, and infrastructure as code. The role evaluates cloud storage and processing options, optimizes performance and costs, guides architectural development, supports client workshops, aligns technical delivery with business objectives, and mentors junior team members. AWS or Azure expertise, AI algorithm experience, and AWS Certified Solutions Architect Professional certification are required.