Jobs in the United States

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Added 10 mins ago
J
Senior Software Engineer, Production
Jobgether
Remote, United States
- $192,000 to $230,000 USD / year
Location requirement: Candidates must be based in the United States or the European Union due to customer jurisdiction and operational requirements
Added 1 hour ago
Senior QA Engineer
Hays
Orlando, FL
Our client is seeking a Senior QA Engineer in Orlando, FL
Added 1 hour ago
MM
Analytical Lab Chemist
Mariana Minerals
San Francisco, CA
- $110,000 to $130,000 USD / year
- Full-time, Monday–Friday, day shift, based at our San Francisco HQ
Added 1 hour 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 1 hour 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 2 hours 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 2 hours 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 2 hours ago
O
Associate DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
Under senior engineers' guidance, develop and maintain deployment automation and pipelines.
Added 2 hours ago
AV Programming/Commissioning Engineer 3 - Tysons, VA
M. C. Dean
Tysons, VA
…electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, M.C. Dean delivers resilient,…
Added 2 hours ago
Data Analytics Engineer, Senior
BOOZ, ALLEN & HAMILTON, INC.
Charlottesville, VA
As a Senior Data Analytics Engineer, you'll help transform enterprise and mission data into trusted, actionable insights that support organizational performance and decision-making. You'll…
Added 3 hours 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 3 hours ago
VI
Systems AI&T - Satellite Payload STE Engineer
Viasat, Inc.
Tempe, AZ
- $117,500 to $176,500 USD / year
As a Systems AI&T Payload STE Engineer, you will play a pivotal, versatile role bridging test planning, interface architecture, cross-disciplinary collaboration, and hands-on payload…
Added 3 hours ago
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Intel Foundry Process Development Engineer - Lithography
Intel
Hillsboro, OR
- $133,800 to $255,200 USD / year
The candidate must possess a Master's degree with 4+ years of semiconductor industry experience, or a Ph.D
Added 3 hours ago
Core Senior .NET Software Engineer
Evolent
Salem, OR
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 3 hours ago
Senior Process Engineer I, Visual Inspection
Fujifilm
Holly Springs, NC
The Senior Process Engineer 1 provides engineering guidance to support capital projects, technology transfer, and manufacturing operations. This will ensure compliance with all safety,…
Added 3 hours ago
Manager Knowledge Based Engineering - Supply Chain
Deloitte
Chicago, IL
Facilitate knowledge capture with senior engineers through interviews, decision replay of historical cases, and rule extraction to preserve engineering judgment before automation; define…
Added 3 hours ago
Senior Process Engineer - Plastic Extrusion Expertise Required
ITW
Itasca, IL
The Senior Process Engineer serves as the technical leader for extrusion, material conversion, and labeling processes across Hi-Cone's global manufacturing network. This role is responsible…
Added 3 hours ago
Senior Manager– AI Governance & Controls Engineering
AbbVie
North Chicago, IL
Additionally, the Senior Manager leads and develops a high-performing AI Controls Engineering team - including direct oversight of the Principal Quality Engineer, AI Controls Engineering…
Added 3 hours ago
Senior Front-End and Agentic-UI Engineer
Evolent
Springfield, IL
The Senior Software Engineer leads the design, development, and deployment of complex features in the web user experience for the Evolent Platform. This role builds high-performance React…
Added 3 hours ago
Core Senior .NET Software Engineer
Evolent
Springfield, IL
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 3 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 3 hours ago
Systems Integrator
XMSTART
Chantilly, VA
…science techniques such as programming languages and or data…
Added 3 hours ago
Systems Engineer
XMSTART
Washington, DC
…science techniques such as programming languages and or data…
Added 3 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 3 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…

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