Jobs in the United States

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Added 11 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 11 mins ago
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CyberSecurity Engineer III
Jobgether
Remote, United States
- $120,000 to $180,000 USD / year
ITIL Foundation certification required
Added 13 mins ago
Staff Service Systems Engineer
Amperesand
Reno, NV · San Francisco, CA
…service it at scale. We are hiring a Staff Service Systems Engineer to build them: a single, trusted service record for every unit, and the tools, processes and monitoring that keep our…
Added 27 mins ago
Desktop Engineer II
Yale New Haven Health
Stratford, CT
Participate in testing, validation, and deployment activities to ensure the reliability, performance, and security of enterprise technology solutions throughout their lifecycle
Added 30 mins ago
O
Senior SQL Data Engineer
OpenDataJobs
Remote, United States
- $150,000 to $170,000 USD / year
…enterprise data platform: their design, their performance and reliability, and the integrity of the data in them. But we hire people, not seats. As the work evolves, you will move to where…
Added 30 mins ago
O
CI/CD and Infrastructure Engineer
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
At Peregrine Advisors, you will stand up and operate the delivery pipelines and cloud infrastructure that carry federal systems into production, keeping all of it secure and automated. But…
Added 30 mins ago
O
Associate DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
For you, security and reliability belong in the build from the first commit, never in a final gate, and you are eager to grow into an engineer whose automation replaces other people's…
Added 40 mins ago
SN
Staff Software Engineer
Second Nature
Remote, United States
- $175,000 to $195,000 USD / year
Second Nature is looking for a highly experienced Staff Software Engineer to help lead the technical development of our GRI Internet product.
Added 53 mins 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 57 mins ago
Senior Software Engineer (Agent Experience)
Avaya
United States
Real-time reliability: experience with persistent connections, concurrent sessions, state ownership, event ordering, idempotency, reconnects, and partial failures.
Added 59 mins 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 1 hour ago
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Data Engineer, Security Analytics
Wayve
Sunnyvale, CA
- $186,100 to $243,300 USD / year
As a Data Engineer, you’ll join the Security team and build the data and automation capabilities that underpin our security program. You’ll work across Security to design scalable data…
Added 1 hour ago
Senior Platform Engineer, Cloud (Xora Portfolio Company)
Xora Innovation
Remote, United States
This role builds what the rest of Elemynt’s engineering runs on: the cloud infrastructure, the core platform services, and the observability that keeps the product reliable. The platform…
Added 1 hour 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 1 hour 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 1 hour ago
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Staff Software Engineer - Compiler & Spark Runtime
Snowflake
Menlo Park, CA · Bellevue, WA
- $236,000 to $339,200 USD / year
The Spark Runtime Engineering Team brings Snowflake’s performance, efficiency, and reliability to Spark workloads. Our mission is to help customers scale data processing while preserving…
Added 1 hour ago
DCIM Engineer III
Quality Technology Services, LLC
United States
…and operates advanced data centers that support strategic AI, cloud and digital transformation initiatives. We are driven by a mission to connect the world for good and our people make it…
Added 1 hour ago
Systems Engineer (Intermediate)
XMSTART
Chantilly, VA
Experience with cloud-based technologies and automation to optimize platform performance and reliability.
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
…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…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
…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…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
…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…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
…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…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
…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…
Added 1 hour ago
Senior Machine Learning Engineer
Xenon7
Remote, United States
…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…
Added 1 hour ago
Principal Machine Learning Engineer
Vail Resorts
UT
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…

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.

Apply on jobs.workable.com About employer

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