Top 27 Kubernetes kubeflow Jobs in New York, Ny

MLOps Engineer
dv01 —New York, NY
- $185,000 - $200,000 a year
- Remote
- Mentoring
- Senior level
- 4 years
- Health insurance
- Dental insurance
Quick Apply
Senior DevOps Engineer
DV Trading —New York, NY
- $200,000 - $250,000 a year
- 5 years
- Writing skills
- DevOps
- Health savings account
- AD&D insurance
Staff MLOps Engineer
NBCUniversal —New York, NY
- $220,000 - $260,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- System design
- Health insurance
- Dental insurance
Data Platform Engineer
Tradeweb Markets —New York, NY
- $120,000 - $170,000 a year
- Full-time
- Mid-level
- Office
- Java
- Travel reimbursement
- Commuter assistance
Senior Staff Solutions Engineer (NYC)
Crusoe —New York, NY
- $175,000 - $250,000 a year
- Full-time
- Azure
- AWS
- Senior level
- Commuter assistance
- Paid parental leave
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AI/ML Engineer
Edurech Technoogy —New York, NY
- $101,358.61 - $122,066.28 a year
- Full-time
- Azure
- Computer Science
- System design
- Relocation assistance
- Health insurance
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Senior ML Platform Engineer - Artificial Intelligence
Bloomberg —New York, NY
- $160,000 - $240,000 a year
- Computer science
- Computer Science
- Experience equivalent to degree accepted
- Paid holidays
- Disability insurance
Senior/Staff/Principal AI/ML Engineer - Threat Detection Engineering
AppGate Cybersecurity, Inc. —New York, NY
- $180,000 - $275,000 a year
- Full-time
- Remote
- 7 years
- Analysis skills
- Senior level
Quick Apply
Sr. Data Science & AI Engineer
NYU Langone Health —New York, NY
- $101,493.51 - $147,000.00 a year
- Online Application
- 5 years
- System design
- HIPAA
- Wellness program
Staff / Principal Platform Engineer
AppGate Cybersecurity, Inc. —New York, NY
- $185,000 - $270,000 a year
- Hybrid work
- Azure
- DevOps
- Mentoring
Quick Apply
Machine Learning Infrastructure Engineer, GenAI Technology
Point72 —New York, NY
- $180,000 - $300,000 a year
- Azure
- Computer Science
- System design
- Health insurance
- Tuition reimbursement
Senior AI Engineer - SFL Scientific
Deloitte —New York, NY
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
AI Foundational Model Engineer
NTT Ltd —Jersey City, NJ
- $139,872 - $209,808 a year
- Temporary
- Azure
- Continuous improvement
- Senior level
- Health savings account
- AD&D insurance
11d
Senior Machine Learning Engineer, Trust & Safety
Hinge —New York, NY
- $186,000 - $245,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Parental leave
Assistant Vice President of Artificial Intelligence
NYC Health + Hospitals —New York, NY
- $225,000 - $265,000 a year
- Online Application
- Doctoral degree
- Computer Science
- System design
- Commuter assistance
- Paid holidays
Sr. AI Engineer
NYU Langone Health —New York, NY
- $97,589.96 - $140,000.00 a year
- Azure
- Computer Science
- HIPAA
- Wellness program
Director, PEPI - Technology Services CTO Domain
Alvarez and Marsal —New York, NY
- $150,000 - $225,000 a year
- Full-time
- Bachelor's degree
- Product management
- Mentoring
- AD&D insurance
- 401(k)
Senior Backend Engineering Manager, Recommendations
Hinge —New York, NY
- $219,000 - $263,000 a year
- Full-time
- Hybrid work
- Azure
- Office
- 8 years
- Paid parental leave
- Parental leave
AI Foundation Model Engineer
NTT DATA —Jersey City, NJ
- $80 - $88 an hour
- Hybrid work
- Azure
- Office
- Continuous improvement
- Health savings account
- AD&D insurance
Quick Apply
12d
Senior Data Scientist Engineer - SFL Scientific
Deloitte —New York, NY
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office

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kubernetes kubeflow jobs near new york, ny

MLOps Engineer

dv01 -
New York, NY

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Job Details

$185,000 - $200,000 a year

Benefits

Health insurance
Unlimited paid time off
Dental insurance
401(k)
Vision insurance
Gym membership

Qualifications

AI models
Containerization systems
Cloud identity and access management (IAM)
Operating systems
Infrastructure as Code (IaC)
Application deployment
AI platforms (beyond public GPTs)
Operational risk mitigation
Model deployment
Mentoring
Cloud Native Design
Developing automated testing protocols
System deployment
Cloud automation
DevOps automation
Cross-functional collaboration
Cross-functional communication

Full Job Description

dv01 is lifting the curtain on the largest financial market in the world: structured finance. The $16+ trillion market is the backbone of everyday activities that empower financial freedom, from consolidating credit card debt and refinancing student loans, to buying a home and starting a small business.

dv01's data analytics platform brings unparalleled transparency into investment performance and risk for lenders and Wall Street investors in structured products. As a data-first company, we wrangle critical loan data and build modern analytical tools that enable strategic decision-making for responsible lending. In a nutshell, we're helping prevent a repeat of the 2008 global financial crisis by offering the data and tools required to make smarter data-driven decisions resulting in a safer world for all of us.

More than 400 of the largest financial institutions use dv01 for our coverage of over 100 million loans spanning mortgages, personal loans, auto, buy-now-pay-later programs, small business, and student loans. dv01 continues to expand coverage of new markets, adding loans monthly, and developing new technologies for the structured products universe.

The Role

We're looking for an MLOps Engineer to build and operate the platform that gets our machine learning and AI work into production reliably. You'll own the lifecycle tooling and infrastructure that lets data science and engineering teams train, track, deploy, and monitor models without reinventing the wheel each time. This is a hands-on, senior-individual-contributor role: you'll set technical direction in your area and mentor less-experienced engineers, while spending most of your time building.

You Will

Build and operate the ML lifecycle platform. Own the tooling that makes model development reproducible and production-ready, with MLflow (or comparable systems) at the center: experiment tracking, model registry, artifact and metadata management, and versioned, repeatable training and inference pipelines.

Own CI/CD and deployment for ML workloads. Build automated pipelines that move models from notebook to production safely, including packaging, containerization, automated testing and validation, staged rollouts, and rollback.

Make models observable and reliable in production. Stand up monitoring for model and service health, including latency, drift, data-quality, and cost signals, with alerting and clear runbooks so issues surface and resolve quickly.

Build the cloud-native foundations. Contribute to and manage containerized workloads on Kubernetes and codify infrastructure with infrastructure-as-code tooling such as Terraform, keeping environments consistent, secure, and reproducible.

Establish sensible guardrails. Implement infrastructure-level governance for ML systems, including access controls, deployment policies, and auditability, partnering with security and compliance to align with our risk and regulatory requirements.

Enable and mentor the teams you support. Define repeatable patterns and shared services that reduce friction for data and application teams, provide technical guidance and mentorship to junior engineers, and contribute to the direction of dv01's MLOps practices.

You Have

4–7 years of relevant experience in platform engineering, DevOps, or MLOps, with solid experience operating systems in production.

Hands-on experience with ML lifecycle tooling. You've built or operated experiment tracking, model registry, and pipeline workflows using MLflow or similar platforms (e.g., Weights & Biases, Kubeflow, SageMaker, Vertex AI Pipelines). This is core to the role.

Strength in cloud-native infrastructure. You're comfortable with Kubernetes, containerized workloads, and infrastructure-as-code tools such as Terraform.

CI/CD fluency. You've designed and maintained automated build, test, and deployment pipelines, ideally for ML or data workloads.

Solid Python/Go skills and comfort supporting PyTorch-based production systems (deploying, serving, and operating them, not necessarily authoring the models).

An operations and security mindset. You understand infrastructure security, IAM, secrets management, and operational risk, and you build with secure, reliable defaults.

Clear communication and collaboration. You work well cross-functionally, can mentor and provide technical guidance, and are comfortable making pragmatic decisions in ambiguous problem spaces.

Nice to Have

Experience with GCP
Experience with Pulumi
Experience with GitHub Actions (GHA)
Experience with Go
Experience supporting data engineering platforms, data warehousing, or ETL/ELT operations
Exposure to LLM serving runtimes (e.g., vLLM, llama.cpp) or agentic systems and Model Context Protocol (MCP) servers
Familiarity with ML compiler stacks (e.g., LLVM/MLIR)
Experience designing benchmarking or evaluation frameworks for ML/AI systems
Familiarity with Excel Pivot Tables

In good faith, our salary range for this role is $185,000–$200,000, but we are not tied to it. Final offer amount will be at the company's sole discretion and determined by multiple factors, including years and depth of experience, expertise, and other business considerations. Our community is fueled by diverse people who welcome differing points of view and the opportunity to learn from each other. Our team is passionate about building a product people love and a culture where everyone can innovate and thrive.

BENEFITS & PERKS:

Unlimited PTO. Unplug and rejuvenate, however you want—whether that's vacationing on the beach or at home on a mental-health day.
$1,000 Learning & Development Fund. No matter where you are in your career, always invest in your future. We encourage you to attend conferences, take classes, and lead workshops. We also host hackathons, brunch & learns, and other employee-led learning opportunities.
Remote-First Environment. People thrive in a flexible and supportive environment that best invigorates them. You can work from your home, cafe, or hotel. You decide.
Health Care and Financial Planning. We offer a comprehensive medical, dental, and vision insurance package for you and your family. We also offer a 401(k) for you to contribute.
Stay active your way! Get $138/month to put toward your favorite gym or fitness membership — wherever you like to work out. Prefer to exercise at home? You can also use up to $1,650 per year through our Fitness Fund to purchase workout equipment, gear, or other wellness essentials.
New Family Bonding. Primary caregivers can take 16 weeks off 100% paid leave, while secondary caregivers can take 4 weeks. Returning to work after bringing home a new child isn't easy, which is why we're flexible and empathetic to the needs of new parents.

dv01 is an equal opportunity employer and all qualified applicants and employees will receive consideration for employment opportunities without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, age, national origin or ancestry, citizenship, veteran status, membership in the uniformed services, disability, genetic information or any other basis protected by applicable law.

Quick Apply

Refine Your Search

kubernetes kubeflow jobs in new york, ny

MLOps Engineer

Senior DevOps Engineer

Staff MLOps Engineer

Data Platform Engineer

Senior Staff Solutions Engineer (NYC)

AI/ML Engineer

Senior ML Platform Engineer - Artificial Intelligence

Senior/Staff/Principal AI/ML Engineer - Threat Detection Engineering

Sr. Data Science & AI Engineer

Staff / Principal Platform Engineer

Machine Learning Infrastructure Engineer, GenAI Technology

Senior AI Engineer - SFL Scientific

AI Foundational Model Engineer

Senior Machine Learning Engineer, Trust & Safety

Assistant Vice President of Artificial Intelligence

Sr. AI Engineer

Director, PEPI - Technology Services CTO Domain

Senior Backend Engineering Manager, Recommendations

AI Foundation Model Engineer

Senior Data Scientist Engineer - SFL Scientific

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