Concurrency10mo ago

Machine Learning Architect

BrookfieldFull-timemid

Data ScienceOtherMachine LearningMachine Learning ArchitectData & AI

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Quick Summary

Overview

Who We Are At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm,

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Data ScienceOtherMachine LearningMachine Learning ArchitectData & AI

Who We Are

At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Gold Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst. 

Who We’re Looking For

We’re looking for a full stack ML Architect to help take our Product Engineering team to the next level. Your main responsibility will be designing and implementing data-intensive ML applications in Azure that solve customer problems. Your second responsibility is helping grow the group by setting internal technical direction, finding and scoping new projects, and publishing thought leadership. The ideal candidate excels at solving stubborn business problems and enjoys working across the ML software lifecycle from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You’ll work with a high-performance engineering team and report directly to the technical Practice Manager of Engineering, significantly influencing our technical direction and that of our customers.

At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions:

Be Yourself: Be the best version of your whole self. Your authenticity matters.

Be Bold: Bravely and respectfully take risks and challenge the norm.

Have a Growth Mindset: Be open to learning and apply your expertise.

Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives.

Assume Positive Intent: Lead with giving the benefit of the doubt.

Lead and Architect

Confidently drive every stage of the ML software development lifecycle, from initial concept to full-scale production deployment

Lead workshops to gather technical and business requirements, translating customer pain points into actionable AI and data science strategies

Advise internal and external stakeholders on trends in Data & AI, influencing both technical direction and strategic initiatives to scale the company's ML market share

Architect and implement robust, scalable, and data-driven machine learning applications within Azure, balancing business value with technical innovation

Produce thought leadership through GitHub contributions, blog posts, or technical talks on LinkedIn or YouTube to elevate both personal and company profiles

Build

Build end-to-end machine learning pipelines across supervised, unsupervised, and deep learning paradigms, with strengths in inferential statistics, time series, computer vision, or LLMs.

Engineer ML solutions that integrate seamlessly with Azure cloud infrastructure, ensuring performance, scalability, and maintainability.

Utilize state-of-the-art DevOps and MLOps practices (CI/CD pipelines, containerization, and automated governance) to build production-ready systems.

Collaborate and Persuade

Serve as the bridge between sales, leadership, and customers, identifying client pain points and translating them into tailored, profitable ML solutions

Communicate complex technical architectures and ML solutions to diverse audiences, simplifying concepts for non-technical stakeholders

Navigate ambiguity in customer goals and evolving technical landscapes, while driving towards clear, measurable outcomes

Mentor and Cultivate

Be a mentor and role model for team members, fostering a high-performance MLE culture

Foster an environment where team members are encouraged to challenge the status quo, propose new approaches, and fail productively

Help grow and shape a technical team capable of delivering high-impact ML projects at scale

Technical Expertise:

Languages/Frameworks: Python, working knowledge of Scala, Java, or PySpark. Pandas, numpy, sklearn, LangChain

Azure: Deep knowledge of Azure's ecosystem including Azure ML, Data Factory, Databricks, Data Lake Storage, Cosmos DB, and Azure SQL DB.

System Design: Expertise in designing Azure architecture following Domain-Driven Design principles

AI & ML Skills: Proficiency in supervised, unsupervised, and deep learning models, including hands-on experience with LLM architectures, time series forecasting, and computer vision solutions

MLOps & DevOps: Strong understanding of MLOps pipelines and MLFlow, CI/CD automation with Azure DevOps or GitHub Actions, and containerization technologies like Docker and Kubernetes

Tools: Proficient in GitHub, PowerShell, Azure CLI, and infrastructure-as-code tools such as ARM templates or Terraform

Soft Skills & Leadership:

Proven experience leading high-performance teams in a fast-paced, customer-centric environment

Strong ability to communicate technical concepts to non-technical stakeholders, and to translate business objectives into scalable ML systems

Ability to mentor and grow teams, setting high standards for both technical quality and engineering discipline

Experience:

10+ years of experience in system design, ML/AI architecture, and enterprise data infrastructure

Demonstrable experience building ML applications in industries such as Manufacturing, Retail, Financial Services, and Healthcare

Hands-on experience with LLM architectures, including Retrieval-Augmented Generation (RAG), single and multi-agent systems, and custom router solutions

Experience with API development frameworks (FastAPI, Django REST framework) to support scalable data services

Microsoft MVP.

Strong software engineering experience.

Experience in professional services organizations.

Demonstrable thought leadership through an active GitHub, blog posts, or publications.

LLM experience: RAG, single and multi-agent, custom routers.

Azure Fabric implementation.

Scala, Java, Terraform.

Listing Details

Posted: June 3, 2025
First seen: March 26, 2026
Last seen: April 24, 2026

Posting Health

Days active: 29
Repost count: 0
Trust Level: 25%
Scored at: April 25, 2026

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Concurrency

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Concurrency is a Microsoft Gold Partner and ServiceNow Elite consulting firm that provides Data, AI, Security, Digital Operations, and Managed IT Services to help businesses leverage technology for transformation.

Employees

350

Founded

1989

Domain

Jobs

External application · ~5 min on Concurrency's site

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