Jobs in the United States

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Senior QA Engineer, Sterility Assurance
Fujifilm
Holly Springs, NC
Support the introduction and lifecycle management of new sterile products, manufacturing technologies, and aseptic processing systems.
Added 11 mins ago
Senior QA Engineer, Sterility Assurance
Fujifilm
Holly Springs, NC
Support the introduction and lifecycle management of new sterile products, manufacturing technologies, and aseptic processing systems.
Added 11 mins ago
Senior QA Engineer, Operations Technology Transfer
Fujifilm
Holly Springs, NC
The Senior Engineer, QA Operations Technology Transfer is responsible for establishing and maintaining a robust and efficient Technology Transfer program at the Holly Springs, NC site. This…
Added 13 mins ago
Systems Engineer
XMSTART
Aurora, CO
The SE supports the full lifecycle of mission and enterprise systems by helping define requirements, access technical solutions, coordinate integration and testing, and maintain technical…
Added 13 mins ago
Systems Engineer
XMSTART
Chantilly, VA
The SE supports the full lifecycle of mission and enterprise systems by helping define requirements, access technical solutions, coordinate integration and testing, and maintain technical…
Added 14 mins ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 14 mins ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 14 mins ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 14 mins ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 14 mins ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 14 mins ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life…
Added 22 mins ago
Staff Systems Engineer
Halo Industries, Inc.
Santa Clara, CA
As a Staff Systems Engineer at Halo Industries, you will play a crucial role in the development, integration, and lifecycle management of our next-generation semiconductor manufacturing…
Added 24 mins ago
Principal Machine Learning Engineer
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We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 24 mins ago
Principal / Sr. Principal Electrical Engineer
Northrop Grumman
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Northrop Grumman Defense Systems is seeking a Principal Engineer Electrical / Sr. Principal Engineer Electrical to support the architecture, development, and delivery of multiple cable,…
Added 25 mins ago
Electrical Engineer, Senior - Secret
DCS CORPORATION OF VIRGINIA, CORP.
OGDEN, UT
Must have and be able to maintain an Active Secret Clearance
Added 25 mins ago
Sr. Mechanical Engineer - Commercial Aerospace
PARKER-HANNIFIN CORPORATION
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Added 25 mins ago
Specialist, Systems Engineer - ILS Engineer
L3Harris
Salt Lake City, UT
Job Title: Specialist Engineer – Integrated Logistics Support (ILS) Systems Engineer Job Code: 44314 Job Location: Salt Lake City, Utah Job Schedule: 9/80: Employees work 9 out of every 14…
Added 25 mins ago
Core Senior .NET Software Engineer
Evolent
Salt Lake City, UT
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 27 mins ago
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Staff, Software Engineer | Bentonville, Arkansas
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
As a Staff Software Engineer, you will lead the design and delivery of scalable platform capabilities, driving the full software development lifecycle from coding to deployment and…
Added 27 mins ago
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(USA) Staff, Software Engineer
Walmart
Sunnyvale, CA
- $143,000 to $286,000 USD / year
The (USA) Staff, Software Engineer plays a critical role in delivering scalable platform capabilities and driving the full software development lifecycle, including design, coding, testing,…
Added 30 mins ago
Senior QA Engineer, Operations Technology Transfer
Fujifilm
Holly Springs, NC
The Senior Engineer, QA Operations Technology Transfer is responsible for establishing and maintaining a robust and efficient Technology Transfer program at the Holly Springs, NC site. This…
Added 36 mins ago
Systems Admin, Intermediate
ASRC Federal Holding Company
Washington, DC
…operation, troubleshooting, and maintenance of hardware and software systems to support the OIG Help Desk. This role entails scheduling the implementation of new and modified hardware,…
Added 38 mins ago
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SQL Data Engineer
OpenDataJobs
Washington, DC
- $120,000 to $140,000 USD / year
…problems and deliver better outcomes. We work across the full lifecycle - from strategy and governance through architecture, engineering, analytics, AI, visualization, and training - for…
Added 38 mins ago
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Senior SQL Data Engineer
OpenDataJobs
Washington, DC
- $150,000 to $170,000 USD / year
…problems and deliver better outcomes. We work across the full lifecycle - from strategy and governance through architecture, engineering, analytics, AI, visualization, and training - for…
Added 38 mins ago
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CI/CD and Infrastructure Engineer
OpenDataJobs
Washington, DC
- $120,000 to $140,000 USD / year
…problems and deliver better outcomes. We work across the full lifecycle - from strategy and governance through architecture, engineering, analytics, AI, visualization, and training - for…

Xenon7

Senior Machine Learning Engineer

Remote, United States

Apply on jobs.workable.com About employer

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Job details

Experience: Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling.
Posting language: English
Posted: Sep 21, 2026

Original job description

Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains - from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise.

Key Responsibilities

Production MLOps & Systems Architecture

Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring.
Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments.

Process Engineering & Manufacturing ML Integration

Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems.
Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases.

Scalable Inference & System Integration

Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications.
Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow).

Technical Leadership & Domain Alignment

Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions.
Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle.

Experience & Mindset

Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling.
Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications).
Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area.
Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams.

Must-Have Technical Stack

Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn.
MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime.
Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure).
Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines.

Domain Competency (Scientific & Process Focus)

Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization).

Nice-to-Haves & Certifications

Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline.
Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors.
Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials.

What This Role Is NOT

Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code.
Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution.
Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

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More about this job

Skills

Machine learning
ML
Research
Manufacturing processes
Architectural design
Process engineering
Control engineering
Quality assurance
ICT system integration
Microservices
Kubernetes
Docker
Kubeflow
Mlflow
Leadership
CI/CD
Adaptability
Chemical engineering
Communication skills
Problem solving
Python
C++
PyTorch
TensorFlow
Scikit-learn
Databricks
AWS
Microsoft Azure
SCADA
MES
Computer science
AWS certification
Data analysis
Jupyter Notebook

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Jobs in the United States