Associate Technical Architect - Machine Learning

Quantiphi

77d

About The Position

As an Associate Architect: Machine Learning Engineer at Quantiphi, you will 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.

Requirements

• 7+ years of relevant hands-on technical experience implementing and developing cloud ML solutions on AWS.
• Hands-on experience with AWS Machine Learning services.
• Proven experience using AWS Sagemaker with various data sources.
• Experience with Natural Language Processing and Deep Learning concepts.
• Strong programming skills in Python and experience with NLP libraries.
• Experience fine-tuning large language models (LLM) and Generative AI (GAI).
• Familiarity with LLM tool use, prompt templating, and context management.
• Experience with workflow orchestration tools like Airflow or SageMaker Pipelines.
• Ability to collaborate with cross-functional teams.

Nice To Haves

• Experience working for customers in the Edtech domain.
• Experience with software development.

Responsibilities

• Design and develop advanced machine learning models and algorithms.
• Optimize and deploy machine learning models on AWS infrastructure.
• Implement cloud ML solutions on AWS.
• Utilize AWS Machine Learning services, including AWS Sagemaker.
• Work with Natural Language Processing (NLP) concepts and libraries.
• Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock.
• Architect and deploy scalable AI solutions on AWS.
• Develop and maintain Model Context Protocol (MCP) implementations.
• Integrate agentic workflows with LLMs via Bedrock.
• Evaluate LLM's capabilities and ensure task generalization.
• Implement secure, scalable APIs and integrate with 3rd-party data sources.
• Collaborate with cross-functional teams to understand requirements and implement solutions.

Benefits

• Opportunity to make an impact at a fast-growing AI-first digital engineering company.
• Upskill and discover potential while solving complex challenges.
• Work with disruptive innovators in a research-focused organization.
• Gain exposure to breakthrough AI, ML, data, and cloud technologies.
• Collaborate in a fun, diverse, and hybrid work culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees