Lead Data Engineer & Modeler, AI - Hybrid jobs in United States
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Commerce · 1 month ago

Lead Data Engineer & Modeler, AI - Hybrid

positionAustin, TX
timeFull-time
remoteHybrid
senioritySenior Level, Lead/Staff
money$116K/yr - $174K/yr
date7+ years exp

Commerce is a company focused on empowering businesses through an AI-driven commerce ecosystem. They are seeking a Lead Data Engineer & Modeler to design and scale AI infrastructure, collaborating with various teams to enhance AI capabilities across their platforms.

B2BE-CommerceOnline Portals
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H1B Sponsor Likelynote

Responsibilities

Partner with the Enterprise Architect and Principal Data Architect to design the company-wide AI/ML platform strategy across GCP and AWS
Build scalable systems for model training, evaluation, deployment, and monitoring
Define best practices for data ingestion, feature stores, vector databases, and model registries
Integrate AI workflows into existing analytics and product pipelines
Implement CI/CD for ML pipelines (MLOps) including model versioning, validation, and automated deployment
Ensure platform reliability, observability, and performance at enterprise scale
Manage GPU/TPU resources and optimize compute efficiency for training and inference workloads
Contribute to cost-optimization and security best practices across the AI infrastructure
Partner with data scientists, applied ML engineers, and product teams to translate model requirements into scalable architecture
Work closely with the data engineering team to ensure AI pipelines align with governance and data quality standards
Collaborate with software engineers to integrate AI services and APIs into production systems
Champion data and model governance, including lineage, reproducibility, and compliance (GDPR, SOC, ISO)
Establish monitoring frameworks for model drift, bias detection, and ethical AI use
Build secure and transparent systems that support trust in AI-driven decisions

Qualification

MLOpsAI platform architectureCloud AI platformsData pipelinesPythonSQLGit-based CI/CDModel serving toolsKubernetesDockerTerraformCommunication skills

Required

7+ years in data or ML engineering, with experience designing production-grade AI infrastructure
Strong technical foundation in MLOps, data pipelines, and distributed systems
Hands-on experience with Cloud AI platforms (Vertex AI, SageMaker, Bedrock, or equivalent)
Hands-on experience with orchestration frameworks (Airflow, Kubeflow, MLflow, or Metaflow)
Hands-on experience with cloud data stacks (BigQuery, Snowflake, GCS/S3, Terraform)
Hands-on experience with model serving tools (FastAPI, BentoML, Ray Serve, or Triton Inference Server)
Proficient in Python, SQL, and Git-based CI/CD
Experience integrating LLMs and vector databases (e.g., Pinecone, FAISS, Weaviate, Vertex Matching Engine)
Familiarity with Kubernetes, Docker, and Terraform for scalable deployment
Strong communication skills, able to partner across disciplines and simplify complex technical systems

Company

Commerce

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Commerce (Nasdaq: CMRC) empowers businesses to innovate, grow, and thrive through an open, AI-driven commerce ecosystem.
dateFounded in 1994
location
Broomfield, Colorado, USA
people-size1001-5000 employees
web-link
http://commerce.com/

H1B Sponsorship

Commerce has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2023 (2)
2022 (7)
2021 (2)
2020 (5)

Funding

Current Stage
Late Stage
Total Funding
$70.5M
Key Investors
GE Capital
2000-04-19Series C· $63M
2000-02-01Private Equity· $7.5M

Recent News

Digital Commerce 360
BigCommerce names a chief product officer
2026-01-08
Company data provided by crunchbase