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Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

Concurrency

Concurrency

51-200 employees

IT consulting for digital transformation solutions

Consulting
Enterprise Software
Data & Analytics

Senior, Expert

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Data Science
Git
Apache Spark
SQL
AWS
Pandas
NumPy
Computer Vision
Google Cloud Platform
Requirements
  • Strong coding skill in SQL and Python (especially pandas, numpy, scikit-learn)
  • Over 5 years of experience in the applied Machine Learning and Data Science field. And at least 3 years of experience owning ML systems from idea to maintenance
  • Relative experience (~10+ projects) in cloud development. Azure is preferred but AWS, GCP, or other relative cloud platform experience is acceptable
  • Professional experience using Databricks and Spark
  • Demonstrable thought leadership evidenced by an active GitHub, blog posts, or publication record
  • Deeply curious about the world
  • Willing to challenge the status quo to propose improvements
  • Motivated by challenge and do not shy away from potential failure
  • Can communicate simply and intuitively to diverse audiences with varying technical background
  • Proven success with--and interest in--owning end-to-end projects solo but knowing when to escalate and delegate
  • Experience with--and interest in—developing in a production MLOps setting
  • Practical experience with tools for the ML lifecycle, including EDA, data prep, data verification, modeling, testing, deploying, and relevant object-oriented software development tasks
  • Experience using data visualization to understand and persuade
Responsibilities
  • You’ll help our data science team grow by sharing your ideas, challenging status quo, and influencing the direction of the team
  • You’ll demonstrate a broad knowledge of ML approaches and you are pragmatic about solutions. E.g., you create business value **and** fit models
  • You’ll work across supervised, unsupervised, and deep learning approaches while being comfortable using inferential statistics, time series, LLMs, or computer vision approaches to solve a given problem (we don’t expect expertise in all!)
  • You’ll design, engineer, test, document, and explain production ML systems in Azure, Python, SQL, and Git
  • You’ll take the lead gathering input from non-technical customer stakeholders and senior IT leadership to plan what to build and set project scope
  • You’ll frame complex problems and propose options to either use data when it’s available or pursue alternatives when it’s not
  • You’ll take the lead in technical design discussions, remove blockers, and align stakeholders
  • You’ll use Big Data tools (Databricks, Spark, Azure, SQL, Python) to carry out supporting analyses and build production solutions
  • You’ll submit your daily hours billed to cloud-based project management software, Kantata, for time tracking
  • You’ll fit, tune, test, validate, and deploy ML models in an MLOps setting to solve real-world problems
  • You’ll discuss project issues and topics simply when presenting to customers

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, as well as mid-sized businesses, Concurrency develops customized solutions to enhance IT operations and security. 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 use to ensure clients get the most value from their IT investments. The goal of Concurrency is to transform the technology landscape of their clients, making it more efficient and aligned with their business objectives.

Company Stage

N/A

Total Funding

$3.4M

Headquarters

Brookfield, Illinois

Founded

1989

Growth & Insights
Headcount

6 month growth

-8%

1 year growth

-8%

2 year growth

-8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Working with high-profile clients like Microsoft and Johnson Controls provides significant exposure and career growth opportunities.
  • The appointment of experienced leaders like Kate Weiland as COO indicates strong organizational leadership and potential for strategic growth.
  • The firm's focus on cutting-edge areas like cloud computing, cybersecurity, and data science offers employees the chance to work on innovative and impactful projects.

What critics are saying

  • The competitive nature of the IT consulting market requires Concurrency to continuously innovate to maintain its edge.
  • Reliance on Microsoft technologies could limit diversification and make the company vulnerable to changes in Microsoft's strategic direction.

What makes Concurrency unique

  • Concurrency's deep expertise in Microsoft technologies like Azure, Office 365, and Dynamics 365 sets it apart from other IT consulting firms.
  • The company's highly collaborative approach, acting as an extension of the client's team, ensures seamless integration and adoption of new systems.
  • Recognition of key personnel, such as Nathan Lasnoski being named a Microsoft MVP for 14 consecutive years, underscores the firm's industry leadership and technical prowess.