Senior Managing Consultant – AWS Data & AI

Kyndryl

full-time

Posted on: 9/22/2025

Origin: • 🇮🇳 India

✨ AI Apply

Senior

Amazon RedshiftAWSETLScikit-LearnTensorflow

About the role

Design, implement, and optimise advanced data and AI solutions on AWS to support analytics, machine learning, and generative AI use cases
Develop end-to-end pipelines for data ingestion, transformation, and model deployment
Work with AWS services such as SageMaker, Bedrock, OpenSearch, Glue, Redshift, Lake Formation, and S3 to build production-grade solutions
Guide architectural decisions for AI-driven applications and enterprise platforms
Lead workshops and consulting engagements to help customers forge data-driven strategies
Educate customers about the latest Data Science technologies and frameworks
Deliver strategies, assessments, recommendations, and comprehensive plans addressing technical and functional requirements
Analyze customer business issues, formulate hypotheses, and test conclusions to deliver data solutions
Collaborate with Kyndryl Consultants, Architects, Project Managers, and Technical Subject Matter Experts

15 years of experience in total
5+ years of relevant experience in AWS Data and AI
Proven experience designing and implementing AI and analytics solutions using AWS-native services such as Amazon SageMaker, Amazon Bedrock, Amazon OpenSearch, AWS Glue, Amazon Redshift, AWS Lake Formation, and Amazon S3
Expertise in developing end-to-end data pipelines for ingestion, transformation, and model deployment using AWS services
Strong knowledge of ETL/ELT concepts, complex stored procedures, and AWS-based data warehouse/lake architectures
Solid understanding of AI/ML fundamentals including machine learning, deep learning, and generative AI
Hands-on experience with generative modelling techniques such as GANs and VAEs
Knowledge of MLOps and AutoML practices on AWS, including model lifecycle management, AI Ethics, Trust, and Explainable AI
Proficiency with ML frameworks and tools such as SparkML, TensorFlow, scikit-learn, XGBoost, and H2O
Strong grasp of foundational statistics and algorithms including regression, random forest, boosting, and ANN
Ability to guide architectural decisions for AI-driven applications on AWS
Comfortable with planning, organization, analytics, and problem-solving
Excellent communication and interpersonal skills to work collaboratively with clients and team members
Comfortable working with statistics
Preferred: Bachelor's degree in Computer Science, Information Security, or a related field