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Ai Ml Engineer Jobs (NOW HIRING)

Node.Digital

AI/ML Engineer

Arlington, VA · On-site

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

YO AI Labs

AI/ML Engineer - Remote

New York, NY · Remote

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Node.Digital LLC

AI/ML Engineer

Arlington, VA · On-site

AI/ML Engineer - Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer -- designing, training, and deploying models that accelerate simulation, improve ...

Diversity Nexus

AI/ML Engineer

San Jose, CA · On-site

Diversity Nexus is seeking a talented AI/ML Engineer with at least 3 years of experience to join their team. The role involves designing, developing, and deploying AI/ML solutions while collaborating ...

Orbofi

We're a rapidly expanding company in search of a highly skilled and experienced AI/ML Engineer to join our team. If you're passionate about developing state-of-the-art AI models and have a deep ...

Apex Informatics

AI/ML Engineer

AI/ML Engineer Location: Remote Role Objective Support the implementation of artificial intelligence (AI) and machine learning (ML) technologies across various use cases defined by the client under a ...

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

AI/ML Engineer Location : Remote We are currently seeking candidates who meet the following qualifications. Key Responsibilities * Develop, train, and deploy machine learning and deep learning models ...

InterSources Inc

AI/ML Engineer

Fremont, CA · On-site

InterSources Inc is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer. The role involves developing AI/ML applications, fine-tuning models, and driving ...

NTT DATA Americas, Inc

AI / ML Engineer

Sandy Springs, GA · On-site

$60 - $70/hr

Business Consultant - AI/ML Engineer Location: Atlanta/Chicago Employment Type: Contract/Permanent Role Summary NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and ...

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Ai Ml Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do ai ml engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai ml engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is an AI ML engineer?

AI/ML Engineers are professionals who design, build, and deploy artificial intelligence (AI) and machine learning (ML) models and systems. They work on creating algorithms that enable computers to learn from data and make predictions or decisions without being explicitly programmed. Their responsibilities often include data preprocessing, model selection, training, evaluation, and integration of models into production environments. AI/ML Engineers typically have strong backgrounds in computer science, mathematics, and programming languages like Python or R. They often collaborate closely with data scientists, software engineers, and product teams to deliver intelligent solutions across various industries.

What are the key skills and qualifications needed to thrive as an AI ML engineer, and why are they important?

To thrive as an AI/ML Engineer, you need strong proficiency in programming (Python, R), mathematics (linear algebra, statistics), and a background in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), data processing tools, and relevant certifications like TensorFlow Developer Certificate is highly valuable. Analytical thinking, problem-solving abilities, and effective communication help you stand out when designing and deploying complex models. These skills and qualities are crucial for building reliable AI systems that drive innovation and deliver actionable insights in various industries.

How do AI ML engineers typically collaborate with data scientists and software engineers during a project?

AI/ML Engineers often work closely with data scientists to translate experimental models into production-ready code and scalable solutions. They also collaborate with software engineers to integrate these models into larger applications and ensure seamless deployment. This teamwork usually involves regular meetings, code reviews, and shared documentation to align on goals, troubleshoot challenges, and optimize system performance. Effective communication and a solid understanding of both data science concepts and software engineering principles are essential for success in this collaborative environment.

What is the difference between Ai Ml Engineer vs Data Scientist?

AspectAi Ml EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related fields; certifications in ML frameworksBachelor's or higher in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops and deploys ML models, often in software development teamsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, software firmsFinance, healthcare, marketing, research organizations

While both roles involve working with data and machine learning, Ai Ml Engineers focus on designing, building, and deploying ML models in production environments. Data Scientists primarily analyze data, create models for insights, and support strategic decisions. The roles often overlap but differ in their core responsibilities and work focus.

What does an AI ML engineer do?

An AI ML engineer designs, develops, and deploys artificial intelligence and machine learning models to solve specific problems. They work with data preprocessing, model training, and evaluation using tools like Python, TensorFlow, or PyTorch, often collaborating with data scientists and software developers. Strong programming skills, understanding of algorithms, and knowledge of data structures are essential for this role.
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Ai Ml Engineer jobs near you
Infographic showing various Ai Ml Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI/ML Engineer

Arlington, VA • On-site

Node.Digital
Software Development • 11 - 50 employees
Learn more about Node.Digitalexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

AI/ML Engineer
Location: Arlington, VA

Must have an active Top Secret Clearance

Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution.  Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services. 

Node is seeking a AI/ML Engineer to support this critical customer mission.

The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Responsibilities:

- Develop automated data pipelines for machine learning technology integration initiatives

- Create automation workflows for malware sample collection, detonation, and taxonomy

- Implement AI/LLM integrations with Databricks and other cloud services

- Implement data integration automation between pilot and production systems

- Support Automated Malware Analysis (AMA) platform development and enhancement

- Develop scripts and tools to automate repetitive technical tasks

- Create data transformation and normalization automation

- Support AI/ML data preparation and feature engineering automation

- Develop monitoring and alerting automation for integrated systems

- Implement API integrations for data sharing and workflow automation

- Document automation solutions and maintain code repositories

- Support scaling automation from pilot to production environments

- Optimize automation performance and efficiency

- Collaborate with analysts to identify automation opportunities

- Ensure automation solutions maintain data quality and integrity

- Support continuous improvement of automated capabilities

Requirements

Required Skills:
- U.S. Citizenship
- Active Secret clearance; TS/SCI preferred
- Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
- 5+ years of experience in automation engineering, data engineering, or software development
- Experience with data ingestion pipeline design on AWS
- Experience with AI/LLM configuration, tuning, and integration
- Experience with Machine Learning (ML) pipelines
- Strong programming skills in Python, with experience in data manipulation libraries
- Experience Amazon Bedrock (model access, endpoints, API Integration)
- Knowledge of automation frameworks and orchestration tools
- Experience with APIs and integration technologies
- Understanding of database systems and data modeling
- Familiarity with version control (Git) and CI/CD practices
- Strong problem-solving and analytical skills
- Ability to translate business requirements into automated solutions
- Strong analytical and problem-solving skills
- Excellent documentation and communication abilities
Desired Skills:
- Experience with malware analysis automation or cybersecurity tools
- Knowledge of AI/ML pipelines and data preparation
- Experience with Databricks and Databricks AI
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark, Hadoop)
- Experience supporting federal cybersecurity programs
Required Education:
BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience
Desired Certifications:
- DoD 8140 IAT Level III
- CSSLP

Benefits

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

Apply