Technical Architect, AI & MLOps
Company: Echo Global Logistics
Location: Chicago
Posted on: October 18, 2024
Job Description:
Echo Global Logistics is a leading provider of
technology-enabled transportation management services. As a
third-party logistics provider, we simplify transportation
management for our clients and carriers, handling crucial tasks so
they can focus on what they do best. From coast to coast, dock to
dock, and across all major transportation modes, Echo connects
businesses that need to ship their products with carriers who
transport goods quickly, securely, and cost-effectively.Position
OverviewAs an Technical Architect with a focus on Artificial
Intelligence and MLOps, you will lead the architecture, design, and
integration of AI-driven solutions across the enterprise. This role
requires extensive experience in architecting data science
platforms, MLOps pipelines, and designing data structures for
large-scale AI models. You will collaborate with business and
technical teams to address complex challenges, drive the adoption
of AI technologies, and ensure scalable, high-performance solutions
that align with business goals.Job Duties & 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.Required Skills
- 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.Preferred Skills
- Cloud certifications - preferably AWS Certified Solutions
Architect or Machine Learning.
- Hands-on experience with AI governance frameworks to ensure
compliance and ethical AI practices.
- Experience with enterprise-level digital transformation
projects that leverage AI and automation.Work environment/physical
demands summary:This job operates in an office environment and uses
a computer, telephone and otheroffice equipment as needed to
perform duties. The noise level in the work environment is typical
ofthat of an office with an open seating floor plan. The employee
may encounter frequent interruptions throughout the work day. The
employee is regularly required to sit, talk, or hear.All qualified
applicants will receive consideration for employment without regard
to age, race, color, religion, sex, sexual orientation, gender
identity, national origin, status as a qualified individual with a
disability, or Vietnam era or other protected veteran.
Keywords: Echo Global Logistics, Wheaton , Technical Architect, AI & MLOps, IT / Software / Systems , Chicago, Illinois
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