12 mlops engineer jobs at 8 companies in Newburgh, NY
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AI Orchestration Engineer
Quincy or Berwyn or Princeton or Clifton
$90k-$158k/yrOnsiteFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
3+ YOEBachelor's degree and 3+ years in data/AI engineering or related fields; experience with Python, SQL, large-scale data pipelines, RAG, MLOps/LLMOps, and AI governance in regulated environments.
Quincy or Toronto or Berwyn or Princeton or Clifton
$120k-$203k/yrOnsiteFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
3+ YOE3+ years in data/AI engineering or related field, bachelor's degree or equivalent, experience with large-scale data pipelines, Python and SQL, AI orchestration, RAG, MLOps/LLMOps, and governance.
CognizantNasdaq: CTSH: Provides global information technology and business process outsourcing services.
Hands-on SageMaker and production ML experience, expert Python (scikit-learn,XGBoost,LightGBM,PyTorch,TensorFlow), strong SQL, MLOps and model-monitoring expertise.
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.
Hudson Valley Credit Union: Provides consumer and commercial banking and lending services.
5+ YOEBachelor’s degree in CS or related; Master’s preferred. 5+ years of Data Engineer experience; Databricks Certifications preferred; Azure Data Engineer certification preferred; strong Python, Databricks, and data warehousing experience.
Databricks, Spark, PySpark, Scala, Delta Lake, Azure Data Lake Storage Gen2, CI/CD, ITSM, SDLC, MLOps
Quincy or Toronto or Boston or Princeton or Clifton or Austin
$120k-$218k/yrHybridFull Time
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
10+ YOELead and deliver enterprise-scale AI, security automation, and data platforms; 10+ years software engineering, 4+ years AI/ML/Generative AI experience, strong cloud, CI/CD, RAG and security background; Master's preferred.
Pitney BowesNYSE: PBI: Provides global shipping, mailing technology, and logistics solutions.
15+ YOE15+ years enterprise experience in data/AI architecture, cloud platforms (AWS/Azure/GCP), data governance, MLOps/LLMOps, building enterprise-scale platforms, and leading cross-functional teams.
Associate Manager, Production AI/ML Engineering, Advanced Informatics
Tarrytown or Armonk or Warren
$110k-$179k/yrOnsiteFull Time
RegeneronNasdaq: REGN: Discovers and manufactures medicines for serious diseases.
7+ YOEBachelor's required (Master's preferred),7+ years ML/platform/software engineering experience, AWS and Kubernetes expertise, Python and SQL proficiency, Postgres and REST API experience, MLOps tooling and healthcare data familiarity.
Assistant Vice President of Artificial Intelligence
Manhattan, New York, United States
OnsiteFull Time
NYC Health + Hospitals: The largest municipal health care system in the US.
8+ YOE4+ MgmtMaster's in CS/Engineering plus 8 years software/AI engineering experience (4 years leadership) or equivalent with minimum bachelor’s; leadership of AI/ML teams; expertise in ML/AI, model deployment, MLOps, cloud platforms, and related tooling.
Director, AI & Advanced Data Learning & Development
Purchase or New York City
$175k-$293k/yrOnsiteFull Time
MastercardNYSE: MA: Global payment processing and financial technology service provider.
Extensive experience in Learning & Development for advanced AI/data roles; leadership in matrix organizations; track record with AI/ML, data, and engineering.
ML frameworks, Data platforms, MLOps, LLMOps, AI systems
Morris Plains or Austin or Bloomfield or St. Louis
$152k-$253k/yrHybridFull Time
The Cigna GroupNYSE: CI: Provides health insurance and pharmacy benefit management services.
12+ YOEBachelor's in CS/IT/Engineering, 12+ years in data or enterprise architecture, experience with cloud platforms and modern data architectures, strong communication and leadership skills.
Azure, AWS, Google Cloud Platform (GCP), DataOps, MLOps, API, data lakehouse, data mesh, data fabric, AI, machine learning