Jobs in the United States

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Added 35 mins ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 35 mins ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 55 mins ago
E T Consultant
World Bank Group
Washington, DC
ITSFE is seeking a skilled and experienced Solution Engineer to join our growing team as an ET Consultant. The Solution Engineer will design, build, enhance, and support web-based solutions…
Added 1 hour ago
Full Stack Java Engineer
Miratech
Remote, United States
We are looking for a Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and operational…
Added 1 hour ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Fresno, CA
- $80,000 to $140,000 USD / year
The Construction Engineer will support the California High-Speed Rail program by contributing to engineering analysis, data management, and performance reporting. This role is suited for an…
Added 1 hour ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Bakersfield, CA
- $80,000 to $140,000 USD / year
The Construction Engineer will support the California High-Speed Rail program by contributing to engineering analysis, data management, and performance reporting. This role is suited for an…
Added 1 hour ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Sacramento, CA
- $80,000 to $140,000 USD / year
The Construction Engineer will support the California High-Speed Rail program by contributing to engineering analysis, data management, and performance reporting. This role is suited for an…
Added 1 hour ago
A
Civil Construction Engineer (2 years of experience required)
AECOM
Bakersfield, CA
- $80,000 to $120,000 USD / year
The Construction Engineer will support the California High-Speed Rail program by contributing to engineering analysis, data management, and performance reporting. This role is suited for an…
Added 1 hour ago
A
Civil Construction Engineer (2 years of experience required)
AECOM
Fresno, CA
- $80,000 to $120,000 USD / year
The Construction Engineer will support the California High-Speed Rail program by contributing to engineering analysis, data management, and performance reporting. This role is suited for an…
Added 1 hour ago
A
Civil Construction Engineer (2 years of experience required)
AECOM
Sacramento, CA
- $80,000 to $120,000 USD / year
The Construction Engineer will support the California High-Speed Rail program by contributing to engineering analysis, data management, and performance reporting. This role is suited for an…
Added 1 hour ago
Staff Thin Film Process Development Engineer
Micron Technology, Inc.
Boise, ID
Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, process optimization, or yield-improvement activities
Added 1 hour ago
Staff Machine Learning Engineer（Risk Intelligence/AI Agent）
OKX
San Jose, CA
This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams.…
Added 1 hour ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
We are seeking an experienced Senior Data Engineer to help build, operate, and optimize the data infrastructure powering analytics and business intelligence across global markets. In this…
Added 1 hour ago
T
Elasticsearch Engineer *No C2C*
TEKsystems
Lincoln, MA
- $120,000 to $250,000 USD / year
Experience managing Elasticsearch index lifecycle policies, index templates, and data streams at scale, and building Kibana dashboards, visualizations, and lens-based analytics for security…
Added 1 hour ago
Data Warehouse Analyst
State of Massachusetts
Quincy, MA
Added 1 hour ago
Senior Ellucian Technical and Integrations Engineer
State of Massachusetts
Boston, MA
Added 1 hour ago
Process Controls Engineer
Love's Travel Stops & Country Stores
Hastings, NE
Welcome to Heartwell! We are looking for a Process Controls Engineer to design,maintain, troubleshoot, and optimize process controls and automate systems to ensure safe, reliable, and…
Added 2 hours ago
TT
Product Engineer
True Talent Solutions Partners
Palo Alto, CA
- $185,000 to $205,000 USD / year
- Partner with product, data, and recommendation systems teams to identify friction for creators and players and improve retention.
Added 2 hours ago
Quality Intelligence Engineer
Alcon Research, LLC. Company
Huntington, WV
We are seeking a Quality Intelligence Engineer to transform manufacturing, quality, customer, and post-market data into actionable insights that strengthen product quality, patient safety,…
Added 2 hours ago
Operations Analyst
Celsius
Boca Raton, FL
The analyst will work closely with Production, Quality, Customer Service, Logistics, Finance, IT, and the Data & Analytics Engineer to access, validate, analyze, and communicate enterprise…
Added 2 hours ago
CC
Senior Product Engineer
Code Climate
New York City, NY
- $175,000 to $200,000 USD / year
As a Senior Product Engineer, you’ll own full stack development of features for Code Climate’s Software Engineering Intelligence Platform. You’ll take ownership of delivering end-to-end…
Added 2 hours ago
Data Engineer
Deep Digital Solutions Group
United States
Job Description: Deep Digital are seeking a highly skilled and experienced Senior Data Engineer with a proven track record in successfully implementing, optimizing, and maintaining the data…
Added 2 hours ago
Media Director
The Shipyard
San Diego, CA
Partner closely with the data and analytics team to ensure measurement frameworks and audience intelligence are embedded in how plans are built and evaluated - bringing an analytically…
Added 2 hours ago
Partner Success Manager
Real Gaming
Las Vegas, NV
Highly technical: you understand APIs, webhooks, data feeds and integrations well enough to read the docs and logs, diagnose a broken integration alongside an engineer, and explain the fix…
Added 2 hours ago
TG
Network Engineer
TJS Group Inc.
Huntsville, AL
- From $150,000 USD / year
…conduct forensic analysis in a lab environment, sort through data for critical investigations, or monitor networks for cyber attacks. FBI personnel at Redstone are at the center of the…

Metasys

MLOps Engineer Internship

Remote, United States

Remote

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Job details

Workplace: Remote
Posting language: English

Original job description

Overview: Operationalizing AI and Personalization The MLOps Engineer is crucial for bridging the gap between data science and production, responsible for the reliable, scalable, and secure deployment of machine learning models. You will operationalize the models powering our AI agents and the e-commerce personalization systems, ensuring continuous integration, delivery, and monitoring of our predictive analytics and recommendation engines. Internship Details Duration: 3 months Start Date: Immediate Location: Remote Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE. Key Responsibilities & Core Projects You will build the automation infrastructure that turns static models into continuously improving production systems.

Model CI/CD Pipelines: Design and build robust CI/CD pipelines dedicated to the machine learning lifecycle: automated model training, validation, and deployment using tools integrated with our main Makefile CI/CD setup.
Model Monitoring & Tracking: Implement comprehensive monitoring and alerting for model performance (e.g., drift detection, prediction accuracy, latency) and track experiments and model artifacts using version control tools.
Production Deployment: Operationalize the deployment of ML models powering AI agents and e-commerce services, ensuring they integrate seamlessly into the NestJS modular monolith architecture.
Versioning & Feature Stores: Manage model versioning and lineage. Collaborate on the design and maintenance of a centralized Feature Store to ensure consistent data for training and serving.
Experimentation Infrastructure: Implement and manage the infrastructure necessary for A/B testing different model versions or personalization strategies in a production environment (e-commerce storefront).
Retraining Workflows: Define and automate the model retraining workflows based on data drift or performance degradation triggers, ensuring models remain relevant to the dynamic supply chain and customer behavior.

Required Technologies & Tools Candidates must possess hands-on expertise in the tools and methodologies used for production ML and MLOps:

MLOps Tools: Experience with model registries, experiment tracking, and serving platforms (e.g., MLflow, Kubeflow, Sagemaker).
CI/CD & Automation: Proficiency in building pipelines (using Python/Bash scripting) and experience with Docker and Terraform.
Data & Compute: Experience managing data pipelines for ML (ETL/ELT) and optimizing compute resources for training and inference.
Programming: Strong proficiency in Python and familiarity with TypeScript/Node.js for deployment integration.
Methodology: Deep understanding of MLOps best practices, responsible AI principles, and monitoring concepts.

AI Agent Focus You will ensure the reliability and continuous improvement of the core AI layer.

LLM Operationalization: Implement specific pipelines for the fine-tuning, validation, and deployment of Large Language Models (LLMs) used in our AI agents.
Agent Performance Tracking: Develop metrics and tracking systems to measure the business impact and operational efficiency of multi-agent systems and recommendation engines.
Framework Integration: Operationalize models built using frameworks like LangChain or LlamaIndex, ensuring they are secure, versioned, and scalable in a production environment.

Success Metrics & Career Path

Performance will be measured by:

Deployment Velocity: Speed and reliability of deploying new or retrained models to production.
Model Performance: Maintaining model accuracy and minimizing performance drift in production.
Pipeline Automation: Percentage of the ML lifecycle (training, validation, deployment) that is fully automated.

Mentorship Structure: Reports to the Solution Architect or Head of Technology, collaborating closely with Data Architects, Data Scientists, and SREs to maintain a reliable AI ecosystem.

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More about this job

Skills

CI/CD
ML
Supply chain management
Mlflow
Kubeflow
Python
Bash
Docker
IBM Terraform
Data engineering
TypeScript
Node.js
Process improvement
LangChain

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