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Associate Technical Architect - ML
Canada - Remote
Live, first seen by us 63 days ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Employment type: Full Time Location: Remote (Canada) What you will do:
Listed location: Canada - Remote
Read the full posting- Employment
Full-time — employment source
Experience Level: 8+ years Employment type: Full Time Location: Remote (Canada)
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- Entry level
Job title: Associate Technical Architect - ML
What you’ll work on
Full postingDesign and develop advanced machine learning models and algorithms for complex business problems
Optimize and deploy models on AWS infrastructure for scalability and reliability
Build end-to-end architecture for model training, deployment and retraining on AWS
Fine-tune and evaluate LLMs and prompts for specific tasks
Implement and manage MLOps practices for Gen AI models
From the employer’s posting
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.
Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.
Implement and manage MLOps principles and best practices for Gen AI models
About Quantiphi
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 1, 202663 days ago
- Recorded sightings
- 56
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Quantiphi is hiring
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Elasticsearch
- SageMaker
- Snowflake
- Airflow
- GCP
Where the posting names them
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: - 21 Google Cloud Partner of the Year awards in the past 10 years
- 21 Google Cloud Partner of the Year awards in the past 10 years - 3 AWS AI/ML Partner of the Year awards - 3 NVIDIA Partner of the Year awards
What you will do: As an 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. Basic Qualifications (BQ):
Basic Qualifications (BQ): - 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. - 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.
- 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. - 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. - Good Experience developing applications using LLMs with Langchain.
- Good Experience developing applications using LLMs with Langchain. - Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock. - Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.
- Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.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 - Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. - Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
- Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2. - Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch. - Strong familiarity with higher-level trends in LLMs and open-source platforms.
- Able to effectively design software architecture as required - Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.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 - Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
- 3 NVIDIA Partner of the Year awards - 3 Snowflake Partner of the Year awards - Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: - 21 Google Cloud Partner of the Year awards in the past 10 years - 3 AWS AI/ML Partner of the Year awards
Your next step
Complete your application on quantiphi.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
Has Quantiphi posted this job before?
Yes. We’ve followed one other Associate Technical Architect - ML job there since September 2026. It came down after 1 day.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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!
About Quantiphi:
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
- Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.
For more details, visit: Website or LinkedIn Page
Role: Architect - Machine Learning
Experience Level: 8+ years
Employment type: Full Time
Location: Remote (Canada)
What you will do:
As an 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.
Basic Qualifications (BQ):
- 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
- 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.
- Good Experience developing applications using LLMs with Langchain.
- Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock.
- Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.
- Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch.
- Strong familiarity with higher-level trends in LLMs and open-source platforms.
- Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models
- Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
- Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
- Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
- Implement and manage MLOps principles and best practices for Gen AI models
- Thorough understanding of NLP techniques for text representation and modeling
- Able to effectively design software architecture as required
- Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.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
- Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
- Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
What is in it for you:
- Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
- Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
- Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
- Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Canada - Remote
Employment type: Full Time Location: Remote (Canada) What you will do:
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