Jobs in the United States

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Added 25 mins ago
Senior Platform Engineer (Crossplane)
Jobgether
Remote, United States
The Senior Platform Engineer will design, build, and operate cloud-native infrastructure supporting a large-scale data platform processing approximately 400,000 pipelines every day. This…
Added 25 mins ago
Senior AI & MLOps Engineer
Jobgether
Remote, United States
As a Senior AI & MLOps Engineer, you will play a key role in deploying and managing advanced AI-powered solutions across enterprise cloud environments. You will work at the intersection of…
Added 57 mins ago
Senior Data Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.
Added 1 hour ago
Instrumentation & Controls Engineer SME – Hyperscale Data Centers
Jacobs
Portland, OR
…communicate recommendations effectively, and direct junior and senior staff on best practices in controls engineering, automation architecture, and systems…
Added 1 hour ago
O
Associate DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
At Peregrine Advisors, you will share in operating the automation, continuous integration and continuous delivery (CI/CD) pipelines, and secure cloud infrastructure that keep federal…
Added 1 hour ago
AV Programming/Commissioning Engineer 3 - Tysons, VA
M. C. Dean
Tysons, VA
…most mission-critical facilities, secure environments, complex infrastructure, and global enterprises. With over 9,000 employees, our capabilities span electrical, electronic security,…
Added 1 hour ago
SO
Platform Specialist - OIT Transparency Posting (Remote From Anywhere In CO)
State of Colorado
CO
- $100,000 to $110,000 USD / year
As a Platform Specialist with the Office of Information Technology (OIT), you will engineer, configure, automate, and deploy the state’s shared content management and electronic signature…
Added 2 hours ago
Senior Software Engineer (Python, Java, C++, or GoLang) - Chicago, IL- ONSITE 2X Week- FreeWheel
Comcast
Chicago, IL
We are looking for a Sr Software Engineer that will lead the technical design and delivery of complex software solutions. These initiatives will encompass automation, analytics, and cloud…
Added 2 hours ago
Systems Integrator
XMSTART
Chantilly, VA
…science techniques such as programming languages and or data…
Added 2 hours ago
Systems Engineer
XMSTART
Washington, DC
…science techniques such as programming languages and or data…
Added 2 hours 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 2 hours 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 2 hours 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 2 hours 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 2 hours 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 2 hours 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 2 hours ago
Senior Cyber AI Operations Engineer (Onsite)
System One
Washington, DC
Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash
Added 2 hours ago
O
Associate DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Washington, DC
- $80,000 to $95,000 USD / year
At Peregrine Advisors, you will share in operating the automation, continuous integration and continuous delivery (CI/CD) pipelines, and secure cloud infrastructure that keep federal…
Added 3 hours ago
Software Engineer Sys 5
Lam Research
Tualatin
‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time
Added 3 hours ago
Principal / Sr. Principal Software Engineer - Infrastructure
Northrop Grumman
Melbourne
Northrop Grumman Aeronautics Systems Sector has an opening for a Principal / Sr. Principal Software Engineer - Infrastructure to join Global Surveillance Division supporting the team of…
Added 3 hours ago
Senior Cisco Security Engineer
Insight Enterprises, Inc.
CA
Insight delivers managed infrastructure, operations and security services for some of the most recognizable brands in North America. Many of the large enterprise clients we support are…
Added 3 hours ago
Senior Software Engineer, Nix Packaging and Release Automation
NVIDIA USA
Remote, United States
12+ years of experience in software engineering, packaging, release engineering, or infrastructure automation.
Added 3 hours ago
Engineer 3 - Tysons, VA
M.C. Dean, Inc
Tysons, VA
The Engineer provides system programming and management support for large scale networking infrastructures. The responsibilities include the administration and maintenance of high…
Added 3 hours ago
Senior Cisco Security Engineer
Insight
San Francisco
Insight delivers managed infrastructure, operations and security services for some of the most recognizable brands in North America. Many of the large enterprise clients we support are…
Added 3 hours ago
TT
Senior/Staff Software Engineer, Platform
True Talent Solutions Partners
New York, NY
- $180,000 to $270,000 USD / year
Join the platform engineering team at an AI-powered finance automation company. You will build foundational systems for AI agents and financial data, enabling engineering teams to deliver…

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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Work requirements

Jobs in the United States