Job
Description
Job Role - Machine Learning Engineer Experience : 5 + Years Job Location : Bangalore/ Mumbai/ Trivandrum (Hybrid Working) As an Associate Architect - Machine Learning at Quantiphi, you will be working as an optimization specialist creating solutions using mathematical optimization and combinatorial optimization techniques to solve complex business problems. You will also be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability. Must have skills: 5+ years of relevant hands-on technical experience mathematical optimization techniques and implementing and developing cloud ML solutions on AWS. Experience in designing and implementing mathematical optimization models using Gurobi to address business challenges such as workforce scheduling, supply chain optimization, and resource allocation. Experience in utilizing combinatorial optimization techniques like branch and cut, branch and bound, and metaheuristics (e.g., genetic algorithms, simulated annealing) to solve discrete optimization problems. Must be able to analyze complex business problems and identify opportunities for optimization, applying combinatorial optimization methods to discrete problems. Experience in monitoring and analyzing the performance of optimization models, identifying areas for improvement. 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.
