Machine Learning Architect at Concurrency

Brookfield, Wisconsin, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Expertise in designing and implementing data-intensive ML applications in Azure
Ability to lead every stage of the ML software development lifecycle, from requirements gathering to system design, implementation, and documentation
Experience leading workshops to gather technical and business requirements and translate customer pain points into AI and data science strategies
Knowledge of trends in Data & AI to advise stakeholders and influence technical direction
Proficiency in building end-to-end machine learning pipelines across supervised, unsupervised, and deep learning paradigms, with strengths in inferential statistics, time series, computer vision, or LLMs
Skills in engineering ML solutions that integrate with Azure cloud infrastructure, ensuring performance, scalability, and maintainability
Experience with state-of-the-art DevOps and MLOps practices (CI/CD pipelines, containerization, automated governance)
Ability to serve as a bridge between sales, leadership, and customers, identifying pain points and translating them into tailored ML solutions
Strong communication skills to explain complex technical architectures and ML solutions to diverse audiences, including non-technical stakeholders
Capability to navigate ambiguity in customer goals and technical landscapes while driving measurable outcomes
Mentoring and role modeling skills to foster a high-performance MLE culture and psychological safety
Thrives in early-stage environments, moving fast and shipping features at high velocity without compromising quality
Alignment with core values: Be Yourself, Be Bold, Have a Growth Mindset, Be the Difference, Assume Positive Intent

Responsibilities

Lead and architect every stage of the ML software development lifecycle, from concept to production deployment
Lead workshops to gather requirements and translate customer pain points into actionable AI and data science strategies
Advise internal and external stakeholders on Data & AI trends to influence technical direction and scale ML market share
Architect and implement robust, scalable, data-driven machine learning applications in Azure
Produce thought leadership through GitHub contributions, blog posts, or technical talks on LinkedIn or YouTube
Build end-to-end machine learning pipelines across various paradigms
Engineer ML solutions integrated with Azure cloud infrastructure
Utilize DevOps and MLOps practices to build production-ready systems
Collaborate with sales, leadership, and customers to identify pain points and develop tailored ML solutions
Communicate technical architectures and solutions to diverse audiences
Navigate ambiguity and drive towards clear, measurable outcomes
Mentor and role model for team members, fostering high-performance culture and psychological safety
Set internal technical direction, find and scope new projects to grow the group

Skills

Machine Learning

Azure

ML Architecture

System Design

Data Pipelines

ML Engineering

Concurrency

IT consulting for digital transformation solutions

About Concurrency

Concurrency is an IT consulting firm that helps businesses improve their technology management. They focus on areas like digital transformation, cloud computing, cybersecurity, and data science. By working closely with clients, including large companies like Microsoft and Johnson Controls, Concurrency develops customized solutions to enhance IT operations and security while making better use of data. Their services include consulting, project-based work, and ongoing support, generating revenue primarily through consulting fees. What sets Concurrency apart is their deep knowledge of Microsoft technologies such as Azure, Office 365, and Power BI, which they implement collaboratively with clients to ensure effective integration and use. The goal of Concurrency is to transform the technology landscape of businesses, making them more efficient and secure.

Brookfield, IllinoisHeadquarters

1989Year Founded

$3.4MTotal Funding

DEBT_PPCompany Stage

Data & Analytics, Consulting, Enterprise SoftwareIndustries

51-200Employees