Full-Time

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

Concurrency

Concurrency

51-200 employees

IT consulting for digital transformation services

Data & Analytics
Consulting
Enterprise Software

Senior

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
Python
Data Science
Tensorflow
Git
Pytorch
Apache Spark
SQL
Docker
AWS
Pandas
NumPy
Computer Vision
Databricks
Google Cloud Platform
Requirements
  • Strong coding skill in SQL and Python (especially pandas, numpy, scikit-learn, Tensorflow/PyTorch)
  • Experience designing and implementing LLM systems. (Multi-tooled single agents, multi-agent systems, custom routing and gateways)
  • Relative experience (~20+ projects) in cloud development. Azure is preferred but AWS and GCP are acceptable too
  • Professional experience using Databricks/Spark and Docker/Kubernetes
  • 7+ years experience owning ML systems from idea to maintenance
  • Demonstrable thought leadership evidenced by an active GitHub, blog posts, or publication record
  • Deeply curious and motivated by challenge. Does not shy away from potential failure
  • Willing to challenge the status quo to propose improvements
  • 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 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 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 Dynamics 365, which they use to ensure effective implementation and integration of new systems. The goal of Concurrency is to empower organizations to modernize their IT infrastructure and make better data-driven decisions.

Company Stage

N/A

Total Funding

$3.4M

Headquarters

Brookfield, Illinois

Founded

1989

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for hybrid cloud solutions boosts Concurrency's cloud service offerings.
  • AI-driven cybersecurity interest enhances Concurrency's cybersecurity service potential.
  • Remote work expansion creates opportunities for Concurrency's collaboration tools and services.

What critics are saying

  • Emerging IT consulting firms threaten Concurrency's market share.
  • Rapid tech changes may challenge Concurrency's staff training capabilities.
  • Economic downturns could reduce IT budgets, impacting Concurrency's revenue.

What makes Concurrency unique

  • Concurrency specializes in Microsoft technologies like Azure and Office 365.
  • The company offers tailored IT solutions for large enterprises and mid-sized businesses.
  • Concurrency's collaborative approach integrates seamlessly with client teams for effective implementation.

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