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Jobs in the United States
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Senior Associate - Full-Stack AI Engineer
New York Life Insurance Co
· Languages/Frameworks: Python, C#, .NET Core, Angular, TypeScript
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Principal Engineer Software (Device Security - Generative AI Back End)
Palo Alto Networks, Inc.
Integrate generative AI capabilities to automate routine coding tasks and improve developer productivity for SDLC.
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Specialist II TIS Application Observability
Enbridge Inc.
Experience with cloud platforms (Azure and/or AWS), Kubernetes, microservices, REST APIs, ServiceNow integrations, and modern DevOps practices.
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Senior Full Stack GenAI Engineer *
LED FastStart
. 7+ years of Python development experience, particularly in building scalable backend services
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Advanced Software Engineer
Relativity ODA LLC
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Principal Software Engineer Manager (AI Infrastructure) - North America Software Center
TSMC
…infrastructure, hybrid cloud platforms, data engineering ecosystems, and developer platforms supporting thousands of engineers and high-volume manufacturing facilities…
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Site Reliability Engineer 2 - Production Engineering
Anduril Industries
Strong programming skills in one or more languages such as Go, Python, Rust, or Java, with the ability to build production-grade tooling
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Site Reliability Engineer 2 - Production Engineering
Anduril Industries
Strong programming skills in one or more languages such as Go, Python, Rust, or Java, with the ability to build production-grade tooling
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Data Science Manager
Proficiency in Python, PySpark and SQL, and common machine learning and LLM application frameworks.
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Senior Associate - Full-Stack AI & Data Engineer
New York Life
· Languages/Frameworks: Python, C#, .NET Core, Angular, TypeScript
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Senior Associate - Full-Stack AI Engineer
New York Life
· Languages/Frameworks: Python, C#, .NET Core, Angular, TypeScript
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Senior Associate - Full-Stack AI Engineer
New York Life
· Languages/Frameworks: Python, C#, .NET Core, Angular, TypeScript
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Applied Scientist II, AWS Quick
Amazon Development Center U.S., Inc.
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation.
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Applied Scientist II, AWS Quick
Amazon Web Services, Inc.
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation.
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Data Science Manager
Proficiency in Python, PySpark and SQL, and common machine learning and LLM application frameworks.
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Manager, Data & Analytics
Incline P&C Group
…platforms. Experience with Snowflake, cloud data environments (AWS preferred), and reporting tools such as Power BI or QuickSight. Familiarity with Python, dbt, Matillion, or comparable…
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Scientist II, Bioinformatics (Applications Lab)
Pacific Biosciences of California, Inc.
…troubleshoot bioinformatics pipelines and automated workflows using Python, Linux, and high-performance computing (HPC) environments. Reduce manual intervention and improve processing…
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Lead Research Engineer – AI Evaluation & Benchmarking
…new components where needed, and develop production-quality Python software, APIs, and reusable evaluation frameworks. Deliver useful initial versions, validate them with users, and improve…
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Data Scientist, Auto Finance Data & Analytics - Sr. Associate
JPMC page
Hands-on experience with SQL and Python for data extraction, analysis, and model development.
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DevOps Storage Engineer
Quantum Sky
…tools like Terraform and Ansible, backed by scripting skills in Python, Bash, or…
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Principal Tech Ops Engineer, AWS Rack Manufacturing
Amazon Data Services, Inc.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all…
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Security Automation Engineer
INSPYR Solutions
HashiCorp Vault/ AWS Secrets Management/ Azure Key Vault experience
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Senior Software Engineer
UnitedHealth Group
3+ years of hands-on experience building, deploying, and maintaining applications in Azure, GCP or AWS
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Principal Data & Applied Scientist - Ontologies & Semantics
SAP
Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.