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Senior Technical Product Manager - ServiceNow HRSD & Employee Center Pro
CVS Health
Little Rock, AR
…processes and operational issues act as a thought partner and model creative problem-solving to impact business…
Added just now
Director, AI Engineer (Remote Eligible)
Capital One
Little Rock, AR
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails,…
Added just now
Principal Software Engineer
Highmark Health
Little Rock, AR
Google Cloud Professional Cloud Architect, Professional Cloud Developer, or Professional Cloud Security Engineer.
Added just now
Director HR Solutions
Lumen
Little Rock, AR
…transformation, including organizational redesign, operational model evolution, workforce planning, role design, capability development, and change…
Added just now
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Little Rock, AR
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Added just now
Commercial Enablement Manager
Norstella
Little Rock, AR
Own the enablement plan from intake and scoping through build, delivery, reinforcement, adoption, and measurement, working within the Commercial Enablement operating model.
Added just now
C
Cloud Application Developer
Cognizant
Little Rock, AR
- $83,250 to $130,000 USD / year
We are seeking an experienced Cloud Application Developer to support the modernization of enterprise applications and the migration of Microsoft Power Platform solutions to Azure…
Added just now
EG
Dev Lead
Eliassen Group
Little Rock, AR
- $110 to $120 USD / hour
Model team expectations and deliver direct, constructive feedback.
Added 11 mins ago
Application Security Architect - AI Harness
Edward Jones
St. Louis, MO
…repeatability, auditability, measurable risk reduction, and developer…
Added 11 mins ago
Technology Transfer Specialist
Ameren
St. Louis, MO
Added 11 mins ago
Senior Lead AI Research Scientist – Foundation Models & Agentic AI
Wells Fargo
SAINT LOUIS, MO
Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist (AI R esearch Scientist Lead – Foundation Models & Agentic AI ) to drive advanced…
Added 11 mins ago
Senior Technical Product Manager - ServiceNow HRSD & Employee Center Pro
CVS Health
Jefferson City, MO
…processes and operational issues act as a thought partner and model creative problem-solving to impact business…
Added 11 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Jefferson City, MO
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails,…
Added 11 mins ago
Principal Software Engineer
Highmark Health
Jefferson City, MO
Google Cloud Professional Cloud Architect, Professional Cloud Developer, or Professional Cloud Security Engineer.
Added 11 mins ago
Director HR Solutions
Lumen
Jefferson City, MO
…transformation, including organizational redesign, operational model evolution, workforce planning, role design, capability development, and change…
Added 11 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Jefferson City, MO
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Added 11 mins ago
Commercial Enablement Manager
Norstella
Jefferson City, MO
Own the enablement plan from intake and scoping through build, delivery, reinforcement, adoption, and measurement, working within the Commercial Enablement operating model.
Added 11 mins ago
Specialty Account Executive Intelligence Center X - LCE
Siemens
Jefferson City, MO
The next era of enterprise AI will not be won by adding another disconnected model, dashboard or pilot. It will be won by connecting trusted enterprise context to intelligence and then…
Added 11 mins ago
C
Cloud Application Developer
Cognizant
Jefferson City, MO
- $83,250 to $130,000 USD / year
We are seeking an experienced Cloud Application Developer to support the modernization of enterprise applications and the migration of Microsoft Power Platform solutions to Azure…
Added 11 mins ago
CC
Manager, Data Strategy
Centene Corporation
Jefferson City, MO
- $102,900 to $190,500 USD / year
Added 11 mins ago
Specialty Account Executive ICX - Aerospace & Defense
Siemens
Jefferson City, MO
The next era of enterprise AI will not be won by adding another disconnected model, dashboard or pilot. It will be won by connecting trusted enterprise context to intelligence and then…
Added 11 mins ago
Data Science Manager, Gen AI - SFL Scientific
Deloitte
Kansas City, MO · St. Louis, MO
Added 11 mins ago
Senior Data Scientist Engineer - SFL Scientific
Deloitte
Kansas City, MO · St. Louis, MO
Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
Added 11 mins ago
Data Scientist Engineer - SFL Scientific
Deloitte
St. Louis, MO · Kansas City, MO
Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
Added 11 mins ago
Google AI Architect
Deloitte
St. Louis, MO · Kansas City, MO
Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build.

Closed listing

Danaher

Senior Engineer - ML Operations

New York, NY, United States

$180,000 to $220,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $180,000 to $220,000 USD / year
Experience: 4+ years of software, ML, or infrastructure engineering experience, including hands-on MLOps/LLMOps and a track record of taking ML models or AI agents into production at scale.
Posting language: English
Posted: Oct 30, 2026

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Original job description

Archived listing. The details below describe a past opening.

Bring more to life.

At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.

Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.

Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.

Learn about the Danaher Business System which makes everything possible. The Senior MLOps Engineer is responsible for owning significant parts of the machine learning and agentic AI lifecycle that powers Danaher’s next generation of AI-driven products and automations. You will take models and AI agents from experimentation to reliable, scalable production. In this high-impact role, you will design and operate the pipelines, serving infrastructure, orchestration, and observability that let data scientists, engineers, and business teams build and run ML models and agentic workflows with speed, reproducibility, and rigor. You will partner with teams across Danaher’s operating companies to turn promising AI prototypes into governed, production-grade agentic automations that run efficiently at scale on shared compute.

This position reports to the Senior Director, Data and AI Platform and is part of the Chief Information Officer (CIO) Office located in Washington, DC and will be fully remote.

In this role, you will have the opportunity to:

Own the end-to-end ML and LLM lifecycle and deployment: experiment tracking, model and prompt registries, versioning, lineage, and reproducibility (e.g., MLflow, Weights & Biases); design and operate model serving for batch and low-latency online inference, including LLM inference, with autoscaling, GPU efficiency, and performance optimization (batching, quantization, caching).
Partner with engineering and business teams to productionize agentic workflows and automations: turn agent prototypes into scalable, repeatable, reliable services using orchestration frameworks (e.g., LangGraph, Claude Agent SDK, Airflow, Prefect, etc) with containerized, sandboxed execution, secure tool and data integrations (e.g., MCP), and support for many concurrent users and workflows without contention.
Implement CI/CD, evaluation, and observability for ML and agents: automate the path from code to validated production through testing, offline and online evaluations, guardrails, and safe deployment patterns (blue/green, canary); monitor model and agent quality, drift, latency, token usage, and cost; implement tracing, automated alerting, and feedback loops using observability tools (e.g., OpenTelemetry).
Drive compute and cost efficiency for AI workloads: GPU and accelerated-compute scheduling, quota and utilization management, LLM provider/gateway routing and rate limits, and driver/CUDA image hygiene, partnering with the platform team to maximize value from contended, high-demand resources.
Build self-service ML and agent tooling and provide technical leadership: develop golden paths and reusable templates that let teams build, evaluate, deploy, and monitor models and agents without deep infrastructure expertise, treating AI enablement as a product; set MLOps and LLMOps standards and best practices while staying hands-on with architecture and delivery.

The essential requirements of the job include:

Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
4+ years of software, ML, or infrastructure engineering experience, including hands-on MLOps/LLMOps and a track record of taking ML models or AI agents into production at scale.
Strong experience with ML and LLM lifecycle tooling: experiment tracking, evaluation, observability/monitoring, model registry, versioning, lineage, and reproducibility (e.g., MLflow, Weights & Biases, Langfuse).
Strong experience with containerization and orchestration (Docker, Kubernetes), including scaling GPU and inference workloads, and with a major cloud platform (Azure preferred) and its AI services (e.g., Azure ML, Azure AI Foundry), using IaC and CI/CD for ML.
Proficiency in Python (and familiarity with Bash) for automation, tooling, and pipeline development.

Travel, Motor Vehicle Record & Physical/Environment Requirements:

Ability to travel – up to 10%

It would be a plus if you also possess previous experience in:

Building and operating agentic systems in production, including multi-agent orchestration, tool calling, retrieval-augmented generation (RAG), and agent security practices such as sandboxing, permission setting, and prompt-injection defenses.
Operating ML or AI systems in a regulated environment (GxP, SOX, or HIPAA), including model traceability, audit evidence, and AI governance controls.
High-performance LLM serving and AI gateway platforms (e.g., vLLM, TGI, Triton, LiteLLM) or serverless GPU compute platforms.

Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.

At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.

The annual salary range for this role is $180K-$220K. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.

The U.S. EEO posters are available here.

For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here

We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.

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More about this job

Skills

ML
Mlflow
Apache Airflow
CI/CD
Scheduling
Leadership
Computer science
Docker
Kubernetes
Microsoft Azure
Infrastructure as code
Python
Bash
Compensation and benefits

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