Associate Architect - ML

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Must have skills:

• 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.

• Experience in designing and developing scalable predictive models to address dynamic pricing, price promotion challenges and optimizing pricing strategies.

• Experience in implementing A/B testing to evaluate the effectiveness of different pricing strategies.

• Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. 

• Implement and manage MLOps principles and best practices for ML architecture.

• Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc. 

• Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.

Good to have skills:

• Experience in dynamic pricing, price promotion and price optimization.

• Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

• Experience with software development.

• Able to effectively design software architecture as required.