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Aiml Engineer Jobs in Virginia (NOW HIRING)

Peraton

AIML Instructor - Senior

Fort Belvoir, VA

As an AIML Instructor supporting a critical space warfighting mission, you will play a vital role ... Working alongside operations, engineering, and mission leadership teams, you will serve as a ...

Peraton

AIML Instructor - Senior

Fort Belvoir, VA · On-site

$135K - $216K/yr

As an AIML Instructor supporting a critical space warfighting mission, you will play a vital role ... Working alongside operations, engineering, and mission leadership teams, you will serve as a ...

Peraton

AIML Instructor - Senior

Fort Belvoir, VA

As an AIML Instructor supporting a critical space warfighting mission, you will play a vital role ... Working alongside operations, engineering, and mission leadership teams, you will serve as a ...

XMSTART

NSI SETA (Intermediate)

Chantilly, VA

XMSTART is looking for a Project lead to guide our NSI Systems Engineering and Technical Advisory ... AIML security * Hands-on cyber experience, including active Intermediate or Advanced DoD 8140 ...

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Aiml Engineer information

What is a 900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer or research scientist roles, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a competitive industry environment.

What do AIML engineers do?

AIML engineers develop and implement artificial intelligence and machine learning algorithms using AIML (Artificial Intelligence Markup Language) to create chatbots, virtual assistants, and other AI-driven applications. They often work with natural language processing tools, data analysis, and scripting to design conversational systems that can understand and respond to user inputs effectively.

Which 3 jobs will survive AI?

AI engineers and specialists in machine learning, data science, and cybersecurity are expected to have strong job prospects as these fields require complex problem-solving, domain expertise, and ongoing adaptation. Roles involving creative thinking, emotional intelligence, and human interaction, such as healthcare professionals and educators, are also likely to remain in demand. Continuous learning and technical skills will be essential for these careers to adapt to AI advancements.

What is the difference between Aiml Engineer vs Data Scientist?

AspectAiml EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related; knowledge of AIML, programmingBachelor's or higher in CS, Statistics, or related; expertise in data analysis, programming
Work EnvironmentDeveloping AIML chatbots, virtual assistants, AI applicationsAnalyzing data, building predictive models, data visualization
Industry UsageTech companies, AI startups, customer service automationFinance, healthcare, marketing, tech firms

While Aiml Engineers focus on creating AIML-based chatbots and AI applications, Data Scientists analyze data to derive insights and build models. Both roles require programming skills and work in tech-driven environments, but Aiml Engineers specialize in AIML language and chatbot development, whereas Data Scientists work with broader data analysis and machine learning techniques.

What engineers make $500,000?

Senior AI/ML engineers, especially those with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models, can earn $500,000 or more annually. High compensation is often associated with roles in leading tech companies, specialized skills, and sometimes stock options or bonuses.
What are popular job titles related to Aiml Engineer jobs in Virginia? For Aiml Engineer jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Aiml Engineer jobs? Cities in Virginia with the most Aiml Engineer job openings:
Aiml Engineer jobs near you
Infographic showing various Aiml Engineer job openings in Virginia as of July 2026, with employment types broken down into 3% Internship, 2% As Needed, 20% Full Time, 58% Part Time, 11% Temporary, and 6% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

AI/ML Engineer with Core Java and Neuro AI

Saransh Inc

Vienna, VA • On-site

Contractor

Posted 16 days ago

Job description

Role: AIML Engineer
Location: Vienna, VA (Hybrid - 3 to 4 days a week onsite)
Job Type: Contract

Job Summary:
  • Join our company as a Sr. Developer Java, where you will leverage your expertise in Neuro AI Engineering, Langchain, and Concepts of LLM to drive innovation.
  • With a focus on Oracle GenAI and Azure, you will contribute to cutting-edge projects that enhance our technological capabilities.

Experience Required: 10 to 14 years
Required Skills: Core Java, Azure, Langchain, Oracle GenAI, Neuro AI Engineering, Concepts of LLM
Responsibilities:
  • Collaborate with cross-functional teams to integrate Neuro AI Engineering into existing systems for improved performance.
  • Utilize Langchain methodologies to streamline data workflows and optimize system efficiency.
  • Apply Concepts of LLM to design robust algorithms.
  • Leverage Oracle GenAI to create predictive models that drive strategic decision-making processes.
  • Utilize Azure to deploy scalable applications that meet business requirements and ensure high availability.
Qualifications:
  • Possess a strong background in Java development.
  • Demonstrate expertise in Neuro AI Engineering and its application in data processing.
  • Have experience with Langchain methodologies for efficient data management.
  • Understand Concepts of LLM and their role in algorithm design.
  • Proficient in Oracle GenAI for predictive modeling and analysis.
  • Azure, GenAI, LLM, Langchain, We are seeking a skilled Azure AI Engineer to design, develop, and deploy AI-based solutions using Microsoft Azure.
  • The role requires hands-on expertise in Azure cognitive services, machine learning, data engineering, Bot Services, and integration of AI models into enterprise applications.
  • Will be responsible for AI agent set up MCP server set up.
  • Implement data preprocessing and feature engineering workflows using Azure Data Factory, Synapse Analytics, or Data Lake.