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Concurrency, Inc. · 5 months ago

Machine Learning Architect

Brookfield, WI

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

Concurrency, Inc. is a forward-thinking tech consulting company recognized for its excellence as a Microsoft Gold Partner. They are seeking a Machine Learning Architect to design and implement data-intensive ML applications in Azure while driving technical direction and influencing strategic initiatives.

CRMInformation TechnologySoftware

H1B Sponsor Likely

Responsibilities

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 psychological safety 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

Qualification

PythonAzure MLMLOpsDeep learningSystem designScalaJavaGitHubCommunicationMentoring

Required

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

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

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

Preferred

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

Benefits

Flexible work schedules

Competitive compensation

Comprehensive benefits for our employees and their families

Access to recognition programs

Comprehensive training opportunities to thrive both professionally and personally

Company

Concurrency, Inc.

Concurrency is an organization of Change Agents.

Founded in 1989

Brookfield, Wisconsin, USA

51-200 employees

http://www.concurrency.com/

H1B Sponsorship

Concurrency, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (2)

2024 (1)

2022 (4)

2021 (1)

2020 (3)