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ICE · 2 days ago

Lead Developer

positionAtlanta, GA
timeFull-time
remoteOnsite
seniorityLead/Staff

Intercontinental Exchange, Inc. (ICE) presents an opportunity for a full-time AI Platform Technical Lead to join and lead a team responsible for architecting and managing the enterprise-wide platform for AI model training, deployment, and inference at scale. The role involves advancing the firm's strategic initiative to integrate Generative AI technologies and requires strong leadership, technical proficiency, and collaboration with diverse stakeholders.

E-CommerceFashionJewelryMarketplace
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H1B Sponsor Likelynote

Responsibilities

Architecting, implementing, and managing enterprise-wide AI inference and training platform infrastructure
Driving innovation, operational excellence, and scalability within AI/ML model serving and training environments
Leading technical strategy for AI platform development and optimization across the organization

Qualification

AI/ML training pipelineGenerative AI technologiesModel deployment pipelinesKubernetes for ML workloadsCloud ML platformsPythonML librariesDistributed computingAI model monitoringCI/CD pipelinesMLOps pipelinesProblem-solving skillsLeadership abilitiesCommunication skillsCollaboration skills

Required

Advanced degree in Computer Science, Machine Learning, Data Engineering, or related field
Strong programming skills in Python with deep knowledge of ML libraries (scikit-learn, TensorFlow, PyTorch, Transformers)
Proficiency in ML model deployment frameworks, inference engines, and real-time serving APIs
Working knowledge of vector databases, model registries, and feature stores (e.g., Feast, Tecton)
Experience with distributed computing frameworks (Spark, Ray) and GPU programming (CUDA) is highly beneficial
Experience with AI model monitoring, performance tracking, and observability tools (Prometheus, Grafana, MLflow)
Extensive experience in cloud ML platforms (AWS SageMaker, Azure ML, Google AI Platform)
Deep experience with Kubernetes for ML workloads, Helm charts, and container orchestration for training pipelines
Experience leading AI platform development in cross-functional teams of data scientists and ML engineers
Expertise in CI/CD pipelines specifically for ML model deployment and automated retraining workflows
Excellence in explaining complex AI infrastructure solutions to technical teams and business stakeholders
Experience in enterprise AI/ML environments, working with governance, compliance, and responsible AI practices
Extensive experience and demonstrated leadership in designing and managing AI/ML training and inference platforms using cloud infrastructure (AWS, Azure, GCP)
Deep expertise in ML model serving frameworks (e.g., TensorFlow Serving, TorchServe, MLflow, Kubeflow)
Proficiency with GPU cluster management, distributed training and model optimization techniques
Strong experience with AI/ML orchestration platforms, particularly Kubernetes for ML workloads and container technologies including Docker
Comprehensive knowledge of MLOps pipelines, model versioning, A/B testing frameworks, and continuous integration for ML models
Experience with high-performance computing, inference optimization, and real-time model serving architectures
Exceptional problem-solving skills in AI infrastructure challenges and strategic thinking for platform scalability
Proven leadership abilities in guiding cross-functional AI/ML engineering teams and mentoring MLOps engineers
Excellent written and verbal communication skills for technical and executive audiences
Ability to effectively collaborate with data scientists, ML engineers, and business stakeholders to align AI platform capabilities with strategic objectives

Company

ICE

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We are building the largest jewelry marketplace.
dateFounded in 1999
location
Austin, Texas, USA
people-size10001+ employees
web-link
https://www.ice.com

H1B Sponsorship

ICE 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
2020 (1)

Funding

Current Stage
Late Stage
Total Funding
$49M
Key Investors
Polaris Partners
2017-12-07Acquired
2016-03-15Series Unknown
2015-07-01Seed· $2M

Leadership Team

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Joseph Albert
Chief Technology Officer
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David Farrell
Chief Operating Officer, ICE Futures U.S.
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