15 model deployment engineer jobs at 10 companies in Ewing, 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.
CACI InternationalNYSE: CACI: Provides information technology and engineering services for government agencies.
10+ YOEActive TS/SCI clearance, BS in CS/ML/math, 10+ years experience (2+ years building LLM applications), Python and ML libraries, experience with LLM frameworks, RAG/vector DBs, deployment, and team leadership.
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.
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
Penn Medicine: Academic health system providing clinical care and medical research.
3+ YOEBachelor's in CS or related, 3+ years software engineering supporting ML model development and deployment, experience with ML infrastructure, healthcare analytics preferred, proven project leadership and mentorship.
AssetWorks: Develops software for managing physical assets, fleets, and infrastructure.
1+ YOELead design and deployment of AI agent workflows; manage data in PostgreSQL/vector databases; integrate Azure OpenAI; fine-tune models; mentor team.
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
CACI InternationalNYSE: CACI: Provides information technology and engineering services for government agencies.
5+ YOEActive TS/SCI clearance, B.S. in related field, 5+ years experience (3+ years developing/training AI/ML models), leadership experience, Python and ML framework proficiency, CV model training and deployment experience, strong communication.
AI Engineer / Data Scientist, AI Experienced Associate
Chicago or Stamford or Los Angeles or Washington or Boston or Detroit or New York or Florham Park or Dallas or San Francisco or San Jose
$63k-$142k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
1+ YOEBachelor's degree,1+ year experience in AI/ML development or testing,experience with data wrangling,model development and deployment;cloud/data platform credentials preferred.
AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake
CACINYSE: CACI: Provides information technology and professional services to government clients.
5+ YOEActive TS/SCI clearance, B.S. in CS/data science/AI, 5+ years experience (3+ in AI/ML model development), leadership experience, Python and ML framework proficiency (PyTorch, TensorFlow, etc.), experience with CV models and cloud deployment.
CACINYSE: CACI: Provides information technology and professional services to government clients.
5+ YOEActive TS/SCI clearance, 5+ years experience with AI/ML or software development, leadership of interdisciplinary teams, Python and deep-learning framework experience (PyTorch, TensorFlow, etc.), model training, optimization, and deployment to cloud, and strong communication skills.
CACI InternationalNYSE: CACI: Provides information technology and engineering services for government agencies.
5+ YOEActive TS/SCI clearance, 5+ years experience (software/dev or data science with 3+ years AI/ML), leadership experience, Python and ML frameworks (PyTorch, TensorFlow, Keras, scikit-learn, OpenCV), CV model training and deployment, cloud experience, up to 10% travel.
New York or Rochester or Albany or Melville or San Francisco or Los Angeles or Sacramento or Dallas or Miami or Philadelphia or Washington or Atlanta
$74k-$212k/yrHybridFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
5+ YOE2+ MgmtBachelor's degree; 5+ years AI engineering or related field; Master's preferred; cloud-native microservices; Docker/Kubernetes; CI/CD; AI/ML model deployment; experience leading teams.
Director, Data Engineering & AI (Philadelphia, PA, US, 19103)
Philadelphia, Pennsylvania, United States
$150k-$160k/yrRemoteFull Time
AramarkNYSE: ARMK: Provides food and facility management services to diverse organizations.
7+ YOE2+ MgmtSenior technical leader with 7+ years in data/software engineering, 4+ years building AI/ML solutions, 2+ years engineering leadership; expert in Python, SQL, Spark, Kafka, Snowflake, Microsoft Azure, MLOps and CI/CD; hands-on model development and deployment.
Python, SQL, Spark, Kafka, Snowflake, Microsoft Azure, MLOps, CI/CD, LLM
Senior Data Scientist — Investment Management Fintech Strategies (IMFS)
Malvern, Pennsylvania, United States
HybridFull Time
Vanguard: Provides mutual funds, ETFs, and investment management services.
5+ YOE5+ years in advanced data science with back-testing, simulation, and statistical modeling; MS or PhD in ML, data science, financial engineering, CS, or related quantitative field; strong Python and ML library skills; production deployment experience.