Machine Learning Engineer

Quantiphi; Bengaluru; In loco; USD 6822 - 13.644; Tempo pieno

Descrizione del lavoro

An innovative firm is seeking a Machine Learning Engineer with a strong background in mathematical optimization and cloud solutions. In this role, you'll leverage your expertise to design and implement advanced machine learning models that address complex business challenges. You'll optimize and deploy these models on AWS infrastructure, ensuring they are scalable and reliable. Collaborating with cross-functional teams, you'll have the opportunity to make a significant impact on business efficiency and effectiveness. If you're passionate about solving real-world problems through technology, this position offers a unique chance to showcase your skills and drive meaningful change.

Competenze

• 5+ years of experience in mathematical optimization and cloud ML solutions.
• Hands-on experience with AWS services like Sagemaker for ML deployment.

Mansioni

• Design and develop advanced machine learning models for optimization.
• Analyze business problems and implement optimization solutions using AWS.

Conoscenze

Mathematical Optimization Techniques

AWS Machine Learning Solutions

Gurobi

Combinatorial Optimization Techniques

MLOps Principles

AWS Sagemaker

Workflow Orchestration Tools

Machine Learning Techniques

Strumenti

AWS

Airflow

StepFunctions

SageMaker Pipelines

Kubeflow

Descrizione del lavoro

Job Role - Machine Learning Engineer

Experience: 5+ Years

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 in 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.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology
• Industries: IT Services and IT Consulting