10 model deployment engineer jobs at 9 companies in New Jersey
🚀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.
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.
5+ YOE5+ years software engineering experience, 3+ years applying ML/AI to production; experience with transformer/foundation models, full-stack engineering, ML evaluation/observability, and regulated-compliance deployments.
LLM orchestration, foundation models, transformer-based architectures
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.
Chefman: Designs and manufactures innovative small kitchen appliances.
Experience developing and deploying production ML and computer vision models; proficiency in Python and PyTorch/TensorFlow; experience with dataset management, edge/embedded deployment, cloud ML services, MLOps, and model optimization.
Python, PyTorch, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenVINO, TensorRT, AWS, Google Cloud Platform, Microsoft Azure, Embedded Linux, ARM
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years software engineering experience, cloud-native and ML model deployment expertise, strong programming (Python), experience with AI-assisted development and responsible AI practices.
Python, OpenAPI, Google ADK, LLamaIndex, OAuth2, OpenTelemetry, AWS
3+ YOEBachelor's or Master's in CS/data engineering, 3+ years data/AI engineering, strong Python and SQL, experience with Spark/PySpark, Microsoft Fabric/Azure Data Factory/AWS Glue, ML model deployment, CI/CD and data governance.
Microsoft Fabric, Azure Data Factory, AWS Glue, PySpark, Spark, Python, SQL, REST APIs, GitHub Actions, Azure DevOps, Git, LLM APIs
CapgeminiEuronext Paris: CAP: Provides global IT consulting and digital transformation services.
Design and develop Power BI reports, build data models, create DAX and Power Query transformations, connect to multiple data sources, implement RLS, and collaborate with data teams.
Power BI Desktop, Power BI Service, DAX, Power Query (M Language), Microsoft SQL Server, Azure, Oracle, SAP, Microsoft Excel, REST APIs, Azure Data Factory, Azure Synapse, Databricks, Fabric, Power BI Premium, deployment pipelines
Staff Software Development Engineer (Agentic AI/ML)
Richardson or New York or Georgia or Maryland or Massachusetts or North Carolina or Florida or Pennsylvania or New Jersey or Delaware
$118k-$261k/yrHybridFull Time
CVS HealthNYSE: CVS: Provides retail pharmacy, health insurance, and pharmacy benefit management services.
7+ YOE7+ years ML/software engineering experience, 5+ years leading projects, 5+ years Python, 2+ years agentic AI/ML, experience with APIs, microservices, Git, cloud (Azure/GCP), LLMs, vector DBs, and model deployment.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOEMS in CS/Statistics/Mathematics/ML and 7+ years development experience (4+ years on AI); experience with LLMs (OpenAI, Anthropic), Python, ML/LLM model development, data management (Postgres, OpenSearch, Redis), cloud deployment, and strong communication and leadership skills.
LLMs, OpenAI, Anthropic, Python, Postgres, OpenSearch, Redis, JavaScript, TypeScript, Next.js, Svelte, Go, Rust, Amazon Web Services (AWS), Microsoft Azure, Kubernetes