Full-Time

Technical Architect

AI & Mlops

Confirmed live in the last 24 hours

Echo Global Logistics

Echo Global Logistics

1,001-5,000 employees

Data & Analytics
Automotive & Transportation

Senior, Expert

Chicago, IL, USA

This job operates in an office environment.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
NoSQL
Data Science
Docker
AWS
Google Cloud Platform
Requirements
  • BA or BS, preferably in Computer Science, Engineering, Data Science, or related discipline, or equivalent work experience.
  • 10+ years of hands-on experience in the design and implementation of complex, high-volume software systems, with at least 5+ years focusing on AI/ML architecture, data science solutions, and MLOps.
  • Expertise in data architecture, including designing and optimizing data structures for large-scale machine learning models and AI applications.
  • Extensive experience with MLOps frameworks (e.g., Kubeflow, MLflow, Seldon) and cloud-based data science platforms (AWS Sagemaker, Google AI, or Azure AI).
  • Proven experience in building end-to-end AI/ML solutions – from data pipelines to model deployment and monitoring.
  • Strong knowledge of machine learning algorithms model lifecycle management, and model deployment best practices.
  • Expertise in cloud architectures (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Experience in designing and developing event-driven architectures, microservices, and API-based integrations.
  • Solid understanding of enterprise security best practices for AI, including secure model access, data privacy, and compliance.
  • Experience with relational and NoSQL databases to support AI/ML data storage and retrieval.
  • Leadership experience mentoring and guiding technical teams in AI, MLOps, and data science.
Responsibilities
  • Architect and design AI, Data Science, and MLOps solutions that scale across the enterprise, supporting both experimentation and production environments.
  • Develop a deep understanding of business needs and technical roadmaps to architect cross-functional solutions for data science initiatives.
  • Design data structures and databases that effectively support machine learning models, AI workloads, and data-driven applications.
  • Lead efforts to build and optimize MLOps pipelines to enable seamless model development, testing, deployment, and monitoring across the enterprise.
  • Decompose AI/ML challenges into technical components such as data ingestion pipelines, feature stores, model repositories, and API endpoints, and produce detailed architectural documentation.
  • Collaborate with data scientists, engineers, and DevOps teams to ensure smooth integration of AI models into business applications.
  • Provide technical leadership in the evaluation and selection of AI platforms, tools, and frameworks for model training, versioning, and lifecycle management.
  • Ensure solutions adhere to enterprise architecture standards, including security, scalability, performance, and compliance requirements.
  • Identify and mitigate architectural risks related to AI/ML solutions, including issues related to data integrity, model performance, and operationalization challenges.
  • Lead knowledge-sharing sessions to align stakeholders on technical architectures and solutions.
  • Continuously evaluate emerging technologies and trends in AI, machine learning, and data science, incorporating these into the organization’s technology roadmap.
Echo Global Logistics

Echo Global Logistics

View

Company Stage

Acquired

Total Funding

$19.9M

Headquarters

Chicago, Illinois

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Echo's recognition as a top food chain provider and green supply chain partner suggests strong industry reputation and potential for career growth in sustainable logistics.
  • The company's focus on technology and innovation, as evidenced by awards for projects like EchoInsure+, offers employees opportunities to work on cutting-edge logistics solutions.
  • Echo's inclusion in lists like Selling Power's 60 Best Companies to Sell For indicates a supportive work environment and promising career prospects for sales professionals.

What critics are saying

  • The logistics industry is highly competitive, and maintaining leadership requires continuous innovation and adaptation to market changes.
  • Echo's reliance on technology means that any disruptions or failures in their systems could significantly impact operations and client trust.

What makes Echo Global Logistics unique

  • Echo Global Logistics stands out with its consistent recognition as a top provider in food chain logistics and green supply chain initiatives, highlighting its commitment to sustainability and specialized industry solutions.
  • The company's technology-enabled services, such as EchoInsure+ and EchoShip™, provide innovative and efficient logistics solutions that differentiate it from traditional logistics providers.
  • Echo's repeated accolades, including being named the #1 third-party logistics provider by Inbound Logistics for eight consecutive years, underscore its leadership and reliability in the logistics sector.

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