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Ai Ml Engineer Jobs (NOW HIRING)

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...

Vancor AI LLC

AI/ML Engineer

Austin, TX · On-site

Join Vancor AI as a AI/ML Engineer. You'll work on models, RAG pipelines, evaluation, and MLOps for enterprise workloads. You'll work with cross-functional teams to deliver secure, scalable solutions ...

Northern Base

AI/ML Engineer

Woodland Hills, CA · On-site

Hiring Alert | AI/ML Engineer - Generative AI, LLM & ML Engineering Location: Woodland Hills, CA / Mason, OH (Onsite) Employment Type: Full-Time Experience Required: 8-21 Years Visa Type: USC / GC ...

DecisionPoint | Cortek

AI/ML Engineer

The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion) Location: Minneapolis, MN (Remote/hybrid) Role Objective We are seeking a hands-on AI/ML Engineer to ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AI/ML Engineer Location: Dallas, TX, United States Job Type: Full-Time Experience: 0-3 years Work Authorization: OPT, H-1B, , or other valid US work authorization Job Summary We are seeking a ...

540

AI/ML Engineer

Arlington, VA · On-site

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

540

AI/ML Engineer

Arlington, VA · On-site

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

ShiftCode Analytics, Inc.

AI/ML Engineer

Brooklyn, NY · On-site

ShiftCode Analytics, Inc. is seeking an AI/ML Engineer to enhance their AI/ML capabilities. The role focuses on infrastructure, MLOps, and cloud AI deployment, requiring strong expertise in ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Chinese/Mandarin AI/ML Engineer Location: United States 🇺🇸 Job Type: Full-Time Experience: 0-3 Years Graduation: 2024-2026 Master'''''s Graduates 🚨 Key Requirement Chinese / Mandarin ...

CEI

Back AI/ML Engineer Intelligent Apps Pittsburgh, Pennsylvania Direct Hire On-Site Aug 20, 2026 AI/ML Engineer Computer Enterprises, Inc. has a Pittsburgh, PA and unanticipated locations throughout ...

Lululemon athletica

Staff AI/ML Engineer

Seattle, WA · On-site

Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...

540

AI/ML Engineer

Arlington, VA · On-site

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking for AI / ML Engineers who are passionate about buildingintelligent systems that solve real-world ...

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Ai Ml Engineer information

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$39K

$101.8K

$137.5K

How much do ai ml engineer jobs pay per year?

As of Sep 10, 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 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI/ML Engineer

Bellevue, WA • On-site

Belva.ai
See more jobs at Belva.aiexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Work closely with ML and Data Engineers to turn machine learning models and data pipelines into software applications.

  • Design and develop core AI / ML solutions for the company.

  • Deploy user-facing machine learning systems in production.

Job description

We are seeking a talented and experienced AI / ML Engineer to join our team. We’re a trailblazing A.I. Telecommunications company, searching for an individual who can lead the charge in AI / ML solutions that make an impact in the lives of millions.

Role and Responsibilities:

We are seeking a AI / ML Engineer to join our backend python team at Belva. As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications.

You will play a central role in designing and developing our core AI / ML solutions. The ideal candidate should have at least 2 years of experience as an AI / ML Engineer in production environments. You must have a solid understanding LLM prompt development, You will be working as a part of a highly experienced and fast moving team of passionate product builders.

Duties / Responsibilities:

  • 2+ years industry experience
  • Strong expertise in C++ and Python
  • Experience in natural language processing / machine translation / text-to-speech
  • Experience in deploying user-facing machine learning systems in production
  • Experience in Machine Learning algorithms and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus
  • Outstanding spoken and written communication skills
  • Highly motivated, creative, organized and a strong problem solver
  • Experience with prompt development using LLM’s such as ChatGPT, Llama 2, Claude 2, etc.

Required Skills/Abilities:

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Minimum of 2 years of professional experience as an AI / ML Engineer in production environments.
  • Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc.
  • Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines.
  • Proven track record of delivering high-quality, production-grade software solutions in a fast-moving team environment.
  • Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications.
  • Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies.

Qualifications and Experience:

  • Must be a Citizen or Green Card Holder and live in the United States
  • B.S. in Computer Science or equivalent experience
  • 2+ years of professional experience as an AI / ML Engineer.
  • Excellent problem-solving skills and the ability to tackle complex challenges.
  • Prior experience in leadership or mentorship roles is a plus.
  • Strong verbal and written communication skills.
  • Openness to new ideas and an unceasing desire to learn new things.

Preferred Qualifications:

  • Experience with database systems such as PostgreSQL and MongoDB.
  • Experience with orchestration tools such as Kubernetes is desirable.
  • Experience with Atlassian tools: JIRA, Confluence, etc.

Why Join Us:

  • Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader.
  • Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses.
  • Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory.

We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together.

Company Description

AI telecommunications