59 model deployment engineer jobs at 45 companies in Wayne, NJ
🚀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.
Austin or Paris or London or New York City or Toronto or San Francisco
HybridFull Time
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering/CS degree, 2+ years in technical client-facing or implementation roles, strong data modeling and AI/ML knowledge, proficiency with formulas/structured modeling; Python/SQL a plus; familiarity with APIs and data pipelines.
8+ YOEBachelor's degree or equivalent, 8+ years software development, 5+ years in ML (speech/audio, RL, or ML infrastructure), 5+ years ML design/deployment/evaluation, 5+ years testing/launching software, 3+ years software design/architecture, experience integrating generative AI/LLM.
Large Language Model (LLM), GemPix, Gemini, Google Workspace
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yrHybridFull Time
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
Fireworks AI: Provide high-speed inference and infrastructure for generative AI models.
5+ YOE5+ years in customer-facing technical roles building production software; strong Python and Kubernetes skills; experience with LLM inference, model serving, fine-tuning workflows, GPU/cloud deployments, and excellent communication.
Latent Defense: Building autonomous AI-driven threat modeling systems for cybersecurity.
Engineer for world model in cybersecurity; focus on TypeScript, Python, PostgreSQL; containerization with Docker/Kubernetes; hybrid deployment; cross-stack work.
Senior Machine Learning Engineer, Predictive Modeling & Applied AI
New York City, New York, United States
$163k-$224k/yrHybridFull Time
Flatiron HealthSIX Swiss Exchange: ROG: Provides oncology software and clinical data for cancer research.
5+ YOEAdvanced degree or equivalent,5+ years building and shipping deep learning models,expertise with transformers,transfer learning,Python and PyTorch/TensorFlow,experience with large longitudinal datasets (healthcare preferred),production deployment experience.
Lead Machine Learning Operations Engineer (New York, NY, US, 10036)
New York, New York, United States
$157k-$235k/yrOnsiteFull Time
ParamountNASDAQ: PSKY: Produces and distributes media content across global entertainment platforms.
5+ YOE5+ years in ML engineering/platform/MLOps or related roles; experience operating production ML systems, model registries/feature stores, monitoring, deployment safety, incident response, and strong SQL and communication skills.
model registries, feature stores, ML metadata systems, production monitoring, model deployment pipelines, ML observability platforms, orchestration frameworks, streaming systems, SQL
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOEHands-on ML engineer with expertise in model development, MLOps, deployment, feature engineering, and scalable ML pipelines; strong Python, cloud, and data engineering skills.
YieldNest: Liquid restaking protocol for risk-adjusted DeFi yields.
5+ YOE5+ years applied ML/AI with production deployments; M.S. or Ph.D. in CS/ML/Statistics or equivalent; proficiency in Python and PyTorch/TensorFlow/scikit-learn; experience with agentic AI, LLMs, RAG, forecasting, and statistical modeling.
Holtzbrinck Publishing Group: Global media group publishing academic research, educational materials, and books.
Senior AI Engineer with full-stack capabilities; cloud-native AI products; deployment, monitoring, and optimization of AI models; strong software engineering; production systems; English communication.
Valon: AI-powered mortgage servicing and financial software platform.
5+ YOE5+ years in sales/solutions engineering or similar; technical fluency with APIs, data models, SQL, cloud systems and integrations; experience delivering enterprise demos and supporting deployments; strong communication and customer-facing skills.
The Estée Lauder CompaniesNYSE: EL: Manufactures and markets prestige skincare, makeup, and fragrance products.
5+ YOE5+ years experience in software engineering/ML or 3+ with graduate degree; strong Python engineering, production LLM/agent experience, cloud (Google Cloud) deployment, data modeling, and mentorship skills.
Python, FastAPI, Google Cloud, Vertex AI, Cloud Run, BigQuery, Firestore, Pub/Sub, Model Context Protocol (MCP), SQL, NoSQL
Myriad Systems: Provides integrated payment and practice management software for healthcare.
4+ YOE4+ years software engineering/AI systems experience, Bachelor's in Computer Science/Engineering, strong Python skills, model training/fine-tuning and production deployment experience, familiarity with LLM frameworks and agentic systems.
DuolingoNASDAQ: DUOL: Mobile application for language learning and basic education.
Proven AI/ML research engineering experience with LLMs and bandit models; experience across ML stack including feature engineering, training/fine-tuning, reinforcement learning, deployment, monitoring; leadership and mentoring experience; advanced degree or equivalent.
CognizantNASDAQ: CTSH: Provides IT consulting and technology services to global enterprises.
Deep hands-on SageMaker experience, expert Python and SQL, production ML deployment, model monitoring and drift detection, MLOps/CI-CD, feature pipeline and feature store development.
Austin or San Francisco or New York City or Arlington
$133k-$185k/yrHybridFull Time
BetterUp: Digital platform for professional coaching and employee mental fitness.
3+ YOE3+ years data engineering or applied AI experience; strong Python and SQL; experience with cloud warehouses (Snowflake/BigQuery/Redshift), dbt, data pipelines, model deployment, and GTM tools (Salesforce, HubSpot); Bachelor's degree or equivalent.