16 model deployment engineer jobs at 12 companies in Cranston, RI
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Lead AI Engineer (Vision model customization, VML)
New York City or McLean or Cambridge or San Jose
$215k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's in CS/AI/EE/CE +4 years or Master's +2 years in AI/ML; 4+ years programming with Python, Go, Scala, or Java; experience with LLM inference, deployment, optimization, and cloud ML infrastructure.
Systems ML Engineer (Member of the Technical Staff)
Cambridge, Massachusetts, United States
OnsiteFull Time
Transfyr: Building physical AI infrastructure for scientific research and automation.
Experience optimizing and deploying large-scale ML models for training and inference, profiling and custom GPU kernel development, distributed training, cloud and edge deployment, and infrastructure automation.
Machine Learning Engineer - News, Books, and Stocks Team
Cambridge, Massachusetts, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Work on machine learning problems for News, Books, and Stocks apps; collaborate with client and ML engineers; contribute to model development and deployment.
DraftKingsNASDAQ: DKNG: Provide online sports betting, fantasy sports, and casino gaming.
3+ YOE3+ years building production Python applications with structured data (SQL). Strong software engineering, MLOps familiarity, feature/ETL pipeline experience, model deployment/monitoring, and a relevant Bachelor's (Master's preferred).
Waltham or Chicago or Boston or Vancouver or Krakow
$140k-$170k/yrHybridFull Time
Motorola SolutionsNYSE: MSI: Provides mission-critical communications and public safety technology.
4+ YOEBachelor's degree and 4+ years software engineering experience with 3+ years C++ development. Experience with camera systems, embedded Linux, model deployment on embedded platforms, Python, Git, and strong problem-solving and communication skills.
HarbourVest: Manages global private equity, credit, and infrastructure investments.
5+ YOE5+ years software development with production ML experience, strong Python and SQL, applied ML and MLOps skills, experience with model evaluation/monitoring, cloud/container deployment, and collaboration across data and product teams.
5+ YOEPhD (5+ yrs) or MS (8+ yrs) in CS/Stats/Economics (or related), 6+ yrs ML experience, 4+ yrs GenAI experience, expertise in LLMs, RL, recommendations, causal inference, model deployment, and strong problem-solving and collaboration skills.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ years applying ML/AI to NLU/ASR, strong ML fundamentals, production ML model deployment, experience with big data systems and Java/Python/C++, transformer/LLM experience preferred.
Boston or Las Vegas or Pittsburgh or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
BS or MS in CS/ML or related; strong Python; hands-on PyTorch (or TensorFlow/JAX); experience with large datasets, SQL, Pandas, NumPy; version control, CI/CD, and unit testing experience; ML lifecycle and model deployment basics.
Kearney Activate- Senior Data Scientist & Product Engineer
Washington or Arlington or Boston
$100k-$150k/yrOnsiteFull Time
Kearney: Global management consulting firm providing strategic and operational advice.
Senior generalist with end-to-end data science experience: framing, EDA, modeling, deployment, monitoring; Bachelor\u0002s degree in a relevant field; U.S. work authorization and ability to obtain Secret clearance.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Cambridge or McLean or New York or San Jose or United States
$197k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
2+ YOEBachelor's in CS/AI/EE/CE (4+ yrs) or Master's (2+ yrs). 4+ yrs programming in Python, Go, Scala, or Java. Experience with LLMs, model training/inference, vector search, cloud deployments, and AI system optimization.
Kearney Activate- Senior Data Scientist & Product Engineer
Washington or Arlington or Boston
$100k-$150k/yrOnsiteFull Time
Kearney: Global management consulting firm providing strategic and operational advice.
Experienced data science generalist able to deliver end-to-end solutions: framing, EDA, modeling (ML and LLM), deployment, monitoring, and client-facing leadership. Must be U.S.-authorized and able to obtain Secret clearance; bachelor’s degree or equivalent.
New York City or Chicago or Boston or Seattle or Dallas or Irvine or Atlanta or Indianapolis or McLean or San Francisco
$261k-$349k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
10+ YOE5+ Mgmt10+ years in enterprise software/SaaS with 5+ years leading technical organizations; expertise in AI/LLM deployments, enterprise architecture, consumption models, and executive engagement.
Sr. Manager, Analytics Engineering & BI Architecture
Boston, Massachusetts, United States
$138k-$207k/yrHybridFull Time
MerckXETRA: MRK: A science and technology providing healthcare, life science, and electronics solutions.
4+ YOEBachelor's degree or equivalent, 4+ years in data/MLOps/data engineering, strong SQL/Python/scripting, experience with AWS and CI/CD, model deployment and monitoring, healthcare/pharma data experience preferred.
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
5+ YOE5+ years in commercial operations, GTM, strategy, product, or growth roles; analytical and execution-oriented; able to build commercial/financial models; translate deployment insights to product and engineering; up to 40% travel.