1,000+ matching jobs for “Full-stack Engineer 5”

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Capital One Financial

Data Engineer 4 - Payment Networks

New York City, New York, United States

… with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Influence a team of developers, data analysts and data scientists with …

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4 - Nexus Products

New York City, New York, United States

Added Oct 27, 2026

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Nvidia

Senior AI Workflow Engineer

Santa Clara, California, United States

… and Driverless Cars to cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will design and implement tools and software solutions that leverage Large Language …

Added Oct 27, 2026

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Huntington Bancshares

Tech Engineer Lead- Java

Columbus, Ohio, United States

Full time

… and open-system technologies . Lead the development of scalable, secure, highly available, and maintainable full-stack applications and microservices . Define and drive technical solutions aligned with enterprise architecture, …

Added Nov 3, 2026

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Motorola Solutions

Senior DevOps Engineer (US REMOTE)

Waltham, Massachusetts, United States +14 locations

Full time

We’re looking for a highly skilled AWS DevOps Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD Pipelines. You will play a …

Added Nov 3, 2026

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Capital One Financial

Data Engineer 4 - ERM Transformation

Richmond, Virginia, United States +2 locations

Added Oct 27, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A ABOUT AMGEN …

Added Oct 15, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A Hiring …

Added Oct 15, 2026

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Stanley Black & Decker

Engineer III, Electro-mechanical

Towson, Maryland, United States

Full time
Regular

Pay posted by employer$72,000–$115,900

Engineer III, Electro-mechanical – Hybrid 3 Days in Office Towson, MD, USA Come make the world and accelerate your …

Added Oct 27, 2026

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Workday

Software Development Engineer - Agent Factory

Vancouver, British Columbia, Canada

Flex
Full time

Pay posted by employer$112,000–$168,000 CAD

… senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade …

Added Oct 27, 2026

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RTX

Senior Software Engineer (Hybrid)

Rockford, Illinois, United States

… Required

 Security Clearance Status: Not Required Collins Aerospace is seeking a Senior Software Engineer to support the development of embedded flight software for electric power distribution and conversion …

Added Oct 27, 2026

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Android Multi-Device Experience Engineer

Bengaluru, Karnataka, India

Full time
Reg Employee

… in systems engineering, computer programming language, or a related field or an advanced degree with 3-5 years of work experience. Preferred Certifications • Certified Software Systems Engineer (CSSE) • Certified …

Added Oct 12, 2026

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Allstate

Fullstack Software Engineer Senior Consultant I

US - Remote

Full time
Regular

… efficiency and service delivery. Role Overview The Full Stack Developer is a hands on, full stack engineer responsible for designing, developing, and supporting enterprise applications and integrations that enable …

Added Oct 27, 2026

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Cisco Systems

Technical Consulting Engineer

Bengaluru, Karnataka, India

… degree in Computer Science, or a related field (or equivalent experience) • 5-8 + years of experience in a technical support, engineering, or related customer-facing role …

Added Oct 27, 2026

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KLA

Opto-Mechanical Design engineer

Ann Arbor, Michigan, United States

Full time
Regular

Pay posted by employer$97,000–$142,267 per year

… by delivering high-impact work across your area of expertise. KLA is seeking an Opto-Mechanical Design Engineer to develop precision optical and mechanical subsystems for advanced semiconductor inspection and metrology …

Added Oct 15, 2026

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Walt Disney

Sr Product Software Engineer (iOS)

New York City, New York, United States +1 location

Full time
Regular

… The team responsible for building world-class news experiences for ABC News is seeking a Senior Software Engineer. This is a great opportunity to work on a leading news product at ABC News on its mission to inform and …

Added Oct 27, 2026

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Walt Disney

Sr Product Software Engineer (iOS)

New York City, New York, United States +1 location

Full time
Regular

Added Oct 27, 2026

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Johnson & Johnson

Senior Data & Applied AI Engineer

São José dos Campos, Brazil

Full time
Regular

Johnson & Johnson is currently recruiting for a Senior Data & Applied AI Engineer located in North America or LATAM. At Johnson & Johnson, we believe health is everything. For more than 130 …

Added Oct 15, 2026

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Capital One Financial

Data Engineer 4 (Manager, IC)

New York City, New York, United States +3 locations

Added Oct 27, 2026

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Capital One Financial

Data Engineer 4 (Manager, IC)

Richmond, Virginia, United States +1 location

Added Oct 27, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

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Skills · employer excerpt

Overall career span of 10-12+ years building production-grade technology solutions with 3-5 years of hands-on experience in AI/ML and enterprise software.
Strong command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the…
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).

2 more in the full description below.

About this opportunity

Original employer description

Career Category

Engineering

Job Description

Principal Machine Learning Engineer

Role Name: Principal Machine Learning Engineer

Department Name: AI & Data Science

Role GCF: 6A

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

We are seeking a Principal Machine Learning Engineer—Amgen’s most senior individual-contributor leader—to build and scale end-to-end machine-learning and generative-AI solutions for enterprise use cases. Sitting at the intersection of engineering excellence, platform enablement and business impact, you will develop, deploy and monitor models—classical ML, deep learning and LLM-based solutions—securely, responsibly and cost-effectively. Acting as a player-coach, you will define technical standards, shape AI solution strategy, establish reusable patterns and reference architectures, and partner with DevOps, Security, Compliance, Product and business teams to deliver enterprise-grade AI solutions in a regulated environment.

Roles & Responsibilities:

Own enterprise AI/ML architecture, engineering standards, APIs, guardrails and reusable patterns across cloud and on-prem environments.
Build production ML/GenAI solutions and lightweight applications that deliver business-ready insights with performance, reliability and usability in mind.
Build end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
Establish observability and operational excellence through SLOs, safe deployment patterns (blue-green/canary, shadow, rollbacks), incident runbooks and production monitoring.
Lead rigorous evaluation (offline/online, A/B), drift detection, and automated retraining.
Architect LLM/RAG solutions with prompt management, grounding strategies, safety guardrails, evaluation frameworks and optimized inference patterns.
Enforce data quality, lineage and responsible AI practices by maintaining model/data cards, privacy controls, traceability, auditability and human oversight where required.
Contribute reusable ML/GenAI platform components—feature stores, model registries, experiment-tracking libraries, evaluation assets and deployment templates—and evangelize best practices that raise engineering velocity across teams.
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
Prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.
Translate domain needs across R&D, Manufacturing and Commercial functions into technical roadmaps; influence solution design, mentor engineers and data scientists, and communicate trade-offs clearly to senior stakeholders.

Lead architecture reviews and technical governance for enterprise AI initiatives, making sound build-vs-buy decisions and ensuring alignment with security, compliance and platform standards.

Drive adoption in regulated environments by embedding validation readiness, explainability, risk controls and scalable operating practices into AI solutions from design through production.

Must-Have Skills:

Overall career span of 10-12+ years building production-grade technology solutions with 3-5 years of hands-on experience in AI/ML and enterprise software.
Strong command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem.
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
Strong ability to evaluate technical and business trade-offs, including cost, scalability, risk, ROI and time-to-value, and present recommendations to senior stakeholders.
Exceptional stakeholder management and technical leadership; able to translate complex concepts into concise, outcome-oriented narratives and influence decisions across engineering, product and business teams.

Good-to-Have Skills:

Experience in Biotechnology or pharma industry is a big plus
Exposure to Value and Access, market access, payer, commercial analytics or related healthcare business domains is preferred.
Experience delivering AI/ML solutions in regulated environments with familiarity in validation, auditability, explainability and risk controls is a plus.
Published thought-leadership or conference talks on enterprise GenAI adoption.
Master’s degree in Computer Science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.

Education and Professional Certifications

Master’s degree with 10-12 + years of experience in Computer Science, IT or related field

Bachelor’s degree with 12-14 + years of experience in Computer Science, IT or related field
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.

Soft Skills:

Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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Full time
Regular
Technology

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