Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Mission Impact At MTSI, you’ll architect and deliver AI/ML‑enabled, cloud‑native mission software that operates acros...

Ai Engineer Machine Learning Ai

$401k* · Senior Fully remote

View details

We are seeking an experienced AI Engineer to join our AI team and drive the development and deployment of advanced ma...

Ai Ai Engineer Machine Learning Mlops

$401k* · Senior Fully remote

View details

Work with us Join a team of innovators. We're looking for passionate tech talents to build the digital future togethe...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

ID: 581756 Location: Marseille, FR Data & AI Engineer - Cybersecurity Innovation Led by Rodolphe Saadé, the CMA CGM G...

Ai Ai Engineer

$581k* · Senior Fully remote

View details

Who Are We? We insure small businesses and enable big dreams – not just for our customers, but for our people and com...

Fulltime Ai Data Science

$1000k* · Senior Fully remote

View details

AI Engineer We are looking for a skilled and innovative AI Engineer to join our team. The ideal candidate will be res...

Fulltime Remote Ai Ai Engineer

$60k* · Senior Fully remote

View details

Who are you? You are a highly analytical, data-driven Data Scientist who can turn raw data in BigQuery/SQL into strat...

Machine Learning Data Science Mlops Ai

Fully remote

View details

AI & ML Engineering Specialist Category: Data & AI Location: London, London, GB Bio Data & AI Engineering London, Uni...

Ai Ai Engineer Machine Learning

Fully remote

View details

Standort: Berlin / Remote (DACH-Zeitzone) Anstellung: Vollzeit, unbefristet Start: Ab sofort Sprache: Deutsch mutters...

Remote Ai Ai Engineer

Fully remote

View details

Vill du arbeta hands-on med avancerade AI- och machine learning-system i produktion – och samtidigt vara med och form...

Fulltime Ai Engineer Machine Learning Generative Ai

Fully remote

View details

Are you ready to turn cutting-edge AI research into real-world products that impact thousands of users worldwide? At ...

Remote Ai Ai Engineer Data Science

Fully remote

View details

REQUISITOS IMPRESCINDIBLES: Buscamos un/a MLOps Engineer para diseñar, implementar y mantener infraestructuras escala...

Machine Learning Data Science Mlops Generative Ai

Fully remote

View details

Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset manage...

Fulltime Remote Ai Engineer Ai

Fully remote

View details

We're looking for a Senior AI Engineer / Data Scientist to join our team in London, United Kingdom, in a hybrid worki...

Ai Ai Engineer Data Science Generative Ai

Fully remote

View details

Location: Cluj, RO Remote, RO Sibiu, RO Iasi, RO Bucuresti, RO Timisoara, RO Who We Are We operate beyond organizatio...

Remote Ai Machine Learning Data Engineer

Fully remote

View details

1 Opening Madrid Role description ¡Seguimos buscando talento…y nos encantaría que te unieras a nuestro equipo! Para q...

Remote Machine Learning Data Science Ai

$30k* · Senior Fully remote

View details

Your mission & challenges Build and maintain CI/CD pipelines for AI model development Automate AI development workflo...

Fulltime Ai Machine Learning Mlops

Fully remote

View details

du poste Descriptif détaillé du besoin Dans le cadre du développement et de l’industrialisation de produits data et m...

Fulltime Machine Learning Data Science Mlops

Fully remote

View details

Roles & Responsibilities Senior Data Scientist – Predictive Analytics & AI Agents (Azure) We are seeking a Senior Dat...

Ai Ai Engineer Machine Learning Data Science

$100k - $140k · Senior Fully remote

View details

TXT InfraWise è un'innovativa startup di TXT Group spin-off del Politecnico di Milano, nata dall'unione tra l'eccelle...

Ai Engineer Machine Learning Ai

Fully remote

View details

Selected role

Junior AI/ML Engineer

MTSI Dayton, OH, US

$401k Senior Full-time

Mission Impact

At MTSI, you’ll architect and deliver AI/ML‑enabled, cloud‑native mission software that operates across platforms, weapons, and terrestrial systems. Your work will modernize enterprise and event‑driven architectures, enabling rapid, secure capability delivery to the warfighter in highly contested environments.

What You’ll Do (Day‑to‑Day)

Support the design and development of AI/ML solutions, including preparing training data, running experiments, and helping deploy models into production workflows.
Contribute to event‑driven and microservice‑based systems by building and testing small components that integrate with platforms such as Apache Kafka.
Assist in building and maintaining cloud‑native applications on AWS, Azure, or GCP using containerization and Kubernetes.
Participate in DevSecOps processes by helping configure CI/CD pipelines, set up automated tests, and support infrastructure automation.
Work within open/reference architectures and follow interface standards to ensure interoperability across mission systems.
Collaborate on Agile teams (Scrum/Kanban); attend standups, planning sessions, design reviews, and technical discussions with Government and industry partners.
Draft technical notes, contribute to documentation, and support briefings to senior engineers and stakeholders.

You’ll Be a Great Fit If You…

Are eager to grow your AI/ML engineering skills and enjoy turning algorithms or prototypes into reliable, maintainable code.
Are curious about event‑driven architectures, resilient systems, and real‑time data streaming.
Thrive in collaborative, fast‑paced Agile environments and enjoy learning from peers and senior engineers.

Responsibilities (Expanded)

Develop and maintain data pipelines (batch or streaming) that support model training, feature extraction, and system telemetry.
Assist in managing Kubernetes‑based environments (deployments, health checks, basic scaling strategies).
Help configure and monitor Kafka topics, schemas, and consumer groups under guidance from senior engineers.
Support automated workflows (Airflow, Prefect, etc.) for model training, evaluation, and deployment.
Contribute to CI/CD pipelines through build/test setup, security scanning, and artifact management tasks.
Help prepare documentation to demonstrate compliance with Government Reference Architectures and technical interface standards.
Participate in team learning, code reviews, and continuous improvement activities; proactively seek mentorship and share knowledge as you grow.

Minimum Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, or related field.
Professional software experience
Experience building cloud‑native solutions on AWS/Azure/GCP; understanding of IaaS/PaaS, networking, security, and cost management.
Hands‑on Kubernetes experience: container orchestration, Helm, ingress, service mesh, scaling, and troubleshooting.
Practical AI/ML delivery experience: model lifecycle (data prep, training, validation, deployment, monitoring) and MLOps practices.
Proven Agile experience (Scrum/Kanban) and toolchains (e.g., Jira/Confluence) for planning, tracking, and documentation.
Strong software engineering fundamentals (design patterns, testing, code reviews) and proficiency with at least one of: Python, Java, C++.

Preferred/Bonus

Kubernetes certification (CKA, CKAD, or CKS).
Experience with stream processing frameworks (Kafka Streams, Flink, Spark Streaming).
MLOps platforms (SageMaker, Vertex AI, MLflow) and feature stores.
Infrastructure as Code (Terraform), container security, and SBOM/zero‑trust practices.

#LI-BG1

#MTSI

#onsite

Perks and Benefits

Vacation:

New Hires Accrue 20 days of PTO and 10 Holidays per Year

Health Insurance:

Zero Deductible Health Plans

Flexible Schedules:

Flex Schedules

Professional Development:

Up to $10,000 Annual Education/Training Reimbursement

ESOP:

Funded Stock Ownership Plan

401k Match+:

6% 401k Match + Immediate Vesting

Bonus Program:

Semi-Annual Bonus Opportunity

Mentorship:

Career Mentorship Programs

Why is MTSI a great place to work

Interesting Work:

Our co-workers support some of the most important and critical programs to our national defense and security.

Values:

Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.

100% Employee Owned:

We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.

Great Benefits - Most Full-Time Staff Are Eligible for:
Starting PTO accrual of 20 days PTO/year + 10 holidays/year
- Flexible schedules
- 6% 401k match with immediate vesting up to $9k annually
- Semi-annual bonus eligibility (July and Decemeber)
- Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
- Up to $10,000 in annual educational reimbursement
- Other company funded benefits, like life and disability insurance
- Optional zero deductible Blue Cross/Blue Shield health insurance plan
Track Record of Success:

We have grown every year since our founding in 1993.

Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance

MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.

For more information about MTSI, please visitwww.mtsi-va.com

EEO Statement

MTSI embraces nine core values including our first core value of Employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.

Why is MTSI a great place to work

Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security.
Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
100% Employee Owned: We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
Great Benefits - Most Full-Time Staff Are Eligible for:
Starting PTO accrual of 20 days PTO/year + 10 holidays/year
- Flexible schedules
- 6% 401k match with immediate vesting up to $9k annually
- Semi-annual bonus eligibility (July and Decemeber)
- Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
- Up to $10,000 in annual educational reimbursement
- Other company funded benefits, like life and disability insurance
- Optional zero deductible Blue Cross/Blue Shield health insurance plan
Track Record of Success: We have grown every year since our founding in 1993.

MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.

For more information about MTSI, please visit www.mtsi-va.com

Showing 861–880 of 2,695 AI roles

1 … 42 43 45 46 135

Find your next AI role

Junior AI/ML Engineer

AI Engineer

AI/ML Engineer

Data AI Engineer - Cybersecurity Innovation

Senior Data Scientist

AI Engineer

Senior Data Scientist

AI ML Engineering Specialist

Senior Full-Stack Developer / AI Engineer (German speaking)

Senior AI/ML Engineer till växande techbolag

AI Engineer

Data Scientist

AI Engineer

Senior AI Engineer / Data Scientist

AI Azure ML Engineer

Data Scientist / Data Machine Learning (híbrido Madrid)

MLOps Engineer (human)

Machine Learning Engineer / MLOps Engineer AWS - Freelance

Gen AI Engineer

AI/ML Engineer