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Ai Ml Engineer Jobs (NOW HIRING)

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 ...

AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Anticipated ...

AI/ML Engineer

Arlington, VA · On-site

$120 - $190/hr

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 ...

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 ...

As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools. You'll contribute ...

As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools. You'll contribute ...

AI/ML Engineer

Chantilly, VA · On-site

$99K - $225K/yr

R0245425 AI/ML Engineer The Opportunity: Data scientists and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML ...

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 ...

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 ...

We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have ...

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 ...

AI/ML Engineer

Arlington, VA · On-site

$140 - $170/hr

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 ...

Texas Instruments is looking for a Sr. AI/ML engineer who is experienced with developing and deploying AI/ML solutions at scale. This role is critical to accelerating our digital transformation ...

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 ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model ...

We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. This role involves working on Natural Language Processing (NLP) and Generative AI ...

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be able to obtain and maintain a Federal or DoD Public Trust Position Overview ...

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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 Aug 20, 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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Infographic showing various Ai Ml Engineer job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI/ML Engineer

Diversity Nexus

San Jose, CA • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
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 with cross-functional teams and optimizing models for performance and scalability.
Responsibilities:
• designing, developing, and deploying AI/ML solutions
• collaborating with cross-functional teams
• optimizing models for performance and scalability.
Qualifications:
Required:
• 3 years of experience with a Master's degree in AI/ML
• Strong foundation in machine learning algorithms
• Deep learning frameworks
• Data modeling
• Designing, developing, and deploying AI/ML solutions
• Collaborating with cross-functional teams
• Optimizing models for performance and scalability
• Experience with Python
• Experience with TensorFlow
• Experience with PyTorch
Preferred:
• Experience with cloud platforms (AWS, GCP, Azure)
• Programming: R or similar
• Strong analytical and problem-solving skills
Company:
Diversity Nexus provides workforce inclusion staffing, payrolling, and supplier diversity solutions for large enterprises. Founded in , the company is headquartered in Princeton, USA, with a team of 201-500 employees. The company is currently Growth Stage.