Machine Learning Engineer- Applied Technology

  • Crowe
  • $70,025.00 - 151,400.00 / Year *
  • 360 W Madison St, Chicago, IL 60606
  • Full-Time

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Company Overview

Your Journey at Crowe Starts Here:

At Crowe, you have the opportunity to deliver innovative solutions to today s complex business issues. Crowe s accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value. Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a Best Place to Work. We are 75 years strong and still growing. Come grow with us!

  • Minimum two years of experience with containerized orchestration and virtualization frameworks
  • Configuring and troubleshooting Linux-based systems
  • Designing, deploying, and troubleshooting distributed systems
  • Working with GPUs in a containerized environment
  • Strong networking knowledge (OSI network layers, working with proxies, API management)
  • Creating and interacting with RESTful HTTPS API s

Strongly preferred

  • Docker
  • Kubernetes
  • Apache Kafka
  • Elasticsearch


  • SOC2/HIPAA Compliance
  • Envoy/Istio
  • Microsoft Azure
  • GitLab CI/CD


  • Manage and monitor the team s HPC Kubernetes clusters on-premises and in the cloud
  • Design, build, and deploy additional infrastructure services and functionality
  • Instruct and mentor ADS team members on how to interact with team resources
  • Evangelize a technology-forward approach towards enhancing data science workflows
  • Troubleshoot issues across the entire stack, from networking issues to scheduling and orchestration


  • Advanced degree (or equivalent experience) in Computer Science or related technical field

About the Team:

Applied Technology professionals at Crowe lead the software development efforts for the firm and build technology solutions in a consistent and reliable way.

Applied Technology owns the software development competency for the firm, which is tied to standardized processes, practices, policies and controls for client-facing products and projects. Team members share expertise across various industries, targeting manufacturing and distribution, government, healthcare, financial services, and private equity groups based on demand from other Business Units. You will learn and build on a wide range of technologies in an environment where innovation and new ideas are highly encouraged. Hop on board to join one of the fastest growing technology consulting practices in the industry!

Our Benefits:

At Crowe, we know that great people is what makes a great firm. We value our people and offer employees a comprehensive benefits package.

Learn more about what working at Crowe can mean for you.

How You Can Grow:

We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper.

More about Crowe:

Crowe ( is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Job Summary

Given substantial growth and impact at Crowe, the machine learning team has formed into an official unit, Advanced Data Science (ADS), which is responsible for all machine learning and artificial intelligence throughout the firm. This team works on a wide variety of projects utilizing numerous areas of machine learning, including: supervised regression/classification, unsupervised learning, anomaly detection, NLP, reinforcement learning, deep learning, forecasting, etc.

The machine learning engineer would be responsible for the management and continued expansion of the ADS team s infrastructure. This role has a mix of technical components, such as the development and deployment of new functionality, and non-technical components, such as helping other technical teams integrate with ADS services.

While this position would work very closely with data scientists, data science expertise is not required or expected. The continued design and development of data science infrastructure is a central responsibility for this role, so understanding of data science workflows would be beneficial.

Associated topics: equipment, infrastructure, ip, maintain, maintenance, network, satcom, satellite, system engineer, system technician

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.