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ML Platform Engineer

Infinity Tech Group Inc

Remote or New York, New York • 26d ago

Easy Apply

Contract

Depends on Experience

Machine Learning Platform Engineer

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 155,000.00 - 185,000.00 per year

ML Platform Engineer

Stitch Fix

Remote • Today

Full-time

USD 136,000.00 - 167,000.00 per year

Machine Learning Platform Engineer

Whatnot

Remote or San Francisco, California • Today

Full-time

USD 245,000.00 - 345,000.00 per year

Machine Learning / AI Engineer (Lead) : Alpharetta GA (OR) OaklandBay area , CA

Nexwave

Alpharetta, Georgia • 3d ago

Easy Apply

Contract

Machine Learning Engineer

Equifax

Atlanta, Georgia • Today

Full-time

Machine Learning / AI Engineer (Lead) with Azure&Snowflake : Alpharetta GA or Bay area , CA (1 day in office)

Nexwave

Atlanta, Georgia • 3d ago

Easy Apply

Contract, Third Party

Staff Machine Learning Engineer

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 220,000.00 - 280,000.00 per year

AI/ML Engineer, Software Development - Noke

Janus International

Atlanta, Georgia • 4d ago

Full-time

AI/ML Engineer

Virtual Networx

Atlanta, Georgia • Today

Easy Apply

Third Party, Contract

$DOE

ML/ML Ops Principal Engineer

HD Supply Repair and Remodel

Atlanta, Georgia • Today

Full-time

Lead Risk Data Scientist & ML Engineer

Worldpay

Atlanta, Georgia • 12d ago

Full-time

Machine Learning Lead Engineer

Cox Automotive

Atlanta, Georgia • Today

Full-time

Compensation information provided in the description

Machine Learning Lead Engineer

Cox Communications

Atlanta, Georgia • Today

Full-time

USD 134,900.00 - 224,900.00 per year

Senior Machine Learning Engineer

FanDuel

Atlanta, Georgia • 5d ago

Full-time

USD 138,000.00 - 181,650.00 per year

AI/ML Engineer

ARK Infotech Spectrum

Hybrid in Alpharetta, Georgia • 10d ago

Easy Apply

Contract, Third Party

Depends on Experience

Backend & AI/ML Engineer

NTT DATA, Inc.

Alpharetta, Georgia • Today

Full-time

USD 106,840.00 - 160,260.00 per year

Machine Learning Engineer

FlairTech Solutions

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$150,000 - $170,000

Software Engineer, Machine Learning Platform, New Grad - Quora (Remote)

Quora

Remote or Kentucky • Today

Full-time

USD 97,600.00 - 139,000.00 per year

Data & ML Engineer

Fiserv, Inc.

Milton, Georgia • 13d ago

Full-time

Senior Data & ML Engineer

Fiserv, Inc.

Milton, Georgia • 17d ago

Full-time

Engineering Manager, Machine Learning Platform

Affirm

Remote • Today

Full-time

USD 230,000.00 - 290,000.00 per year

Senior ML Ops Engineer

Mitchell Martin, Inc.

Remote • 10d ago

Easy Apply

Full-time, Third Party

$105000 - $150000

Staff Platform Engineer (AI/ML Infrastructure)

Siro Clinpharm Pvt Ltd

Remote • 3d ago

Easy Apply

Full-time, Third Party

Depends on Experience

AI / ML Engineer - AI Enablement - Canada

nFolks Data Solutions

Remote or Toronto, Ontario • Today

Easy Apply

Contract

Depends on Experience

Data Engineer - ML/AI Data Platform (Remote)

FEI Systems

Remote or Columbia, Maryland • Today

Full-time

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $200,000

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $190,000

Machine Learning Engineer

Kforce Technology Staffing

Remote or Armonk, New York • Today

Contract

$50 - $60 hourly

Job Details

Skills

ML platform engineering
MLOps
model integration
GIP IDPs
ARDs
App Catalog
SageMaker integration
Vertex AI
Posit Workbench
HPC
AWS SageMaker
MLflow
Docker
GitHub
CI/CD pipelines
Kubernetes
EKS
GxP
SaMD
validation
audit trail
traceability
21 CFR Part 11-aligned environments
PyTorch
TensorFlow

Summary

Role Overview

This role will help enable algorithm development, model packaging, model registration, reproducible execution, and governed deployment workflows across imaging datasets, Integrated Data Products, and Analysis-Ready Datasets.

The role is focused on ML platform engineering, MLOps, model integration, and validation readiness rather than developing new clinical interpretation algorithms.

Key Responsibilities

Build and support ML / MLOps capabilities within the Global Imaging Platform.
Integrate ML models and workflows with GIP IDPs, ARDs, App Catalog, and model registry.
Support SageMaker integration as the first connected algorithm development environment.
Package algorithms for repeatable execution, versioning, lineage, and auditability.
Implement model metadata, version control, experiment tracking, and reproducible build patterns.
Support in-platform inferencing workflows for SageMaker-hosted or connected models.
Work with data engineers, architects, and validation teams to ensure traceability from dataset to model output.
Support CI/CD pipelines for ML model packaging, deployment, rollback, and promotion.
Contribute to governance, observability, monitoring, and lifecycle controls for ML models.
Support validation evidence generation, including documentation for GxP-ready workflows where applicable.
Collaborate with architects, data scientists, platform engineers, and Genentech SMEs to align ML workflows with platform standards.
Assist with onboarding future connected environments such as Vertex AI, Posit Workbench, and HPC.

Required Skills

Strong hands-on experience with Python and ML engineering libraries.
Experience with AWS SageMaker, model deployment, and endpoint / inference workflows.
Experience with MLOps, model registry, experiment tracking, model versioning, and reproducibility.
Familiarity with tools such as MLflow, Docker, GitHub, CI/CD pipelines, Kubernetes / EKS, or similar.
Experience working with data pipelines, APIs, metadata, and lineage concepts.
Understanding of model packaging, release management, rollback, and environment reproducibility.
Ability to work with cross-functional teams across architecture, data engineering, validation, and product teams.
Strong documentation skills for technical designs, implementation notes, and validation evidence.

Preferred Skills

Experience in life sciences, clinical imaging, healthcare AI, or regulated data platforms.
Familiarity with imaging formats and workflows such as DICOM, radiology, ophthalmology, or digital pathology.
Experience with PyTorch, TensorFlow, or similar ML frameworks.
Exposure to GxP, SaMD, validation, audit trail, traceability, or 21 CFR Part 11-aligned environments.
Experience integrating ML models into enterprise platforms or application catalogs.
Experience with cloud-native architecture and observability dashboards.

Expected Deliverables

ML model packaging and registration workflows.
SageMaker integration support for GIP algorithm framework.
Reproducible ML execution patterns.
Model metadata, lineage, and versioning implementation.
ML lifecycle documentation and technical implementation notes.
Support for validation evidence and audit-readiness documentation.
Support for model deployment, monitoring, and rollback workflows.

Qualifications

Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Biomedical Engineering, or related field.
6+ years of experience in ML engineering, MLOps, or applied AI platform development.
Prior experience supporting enterprise-scale ML platforms or regulated data environments is preferred.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: infnj003
Position Id: 9025157
Posted 26 days ago

Fitment

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Contact the job poster

Vijay Kumar

Recruiter @ Infinity Tech Group Inc

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New York, New York

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Engineering Manager, Machine Learning Platform

New York, New York

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11d ago

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USD 230,000.00 - 290,000.00 per year

Senior Principal Software Engineer, Machine Learning

New York, New York

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Yesterday

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. About the Team & Role: The Machine Learning Platform team builds and operates the core infrastructure that powers AI and ML across Toast - the feature store, model hosting and serving, the experimentation platform, training pipelines, and the tooling ML engineers and data scientists rely on every day. Our work d

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USD 283,000.00 - 453,000.00 per year