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Ai Ml Developer Jobs (NOW HIRING)

We are seeking an AI-ML Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border ...

We are seeking an AI-ML Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border ...

We are seeking an AI-ML Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border ...

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Lead AI/ML Developer Location: NYC, NY (Hybrid - 3 days a week onsite) Job Type: Contract Responsibilities: * Design and implement machine learning models and algorithms for classification ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in ...

AI/ML DeveloperIntroduction Zvolvant is currently seeking a Senior AI Developer to lead the design and implementation of advanced AI systems that support federal mission objectives. The focus will be ...

AI / ML experience BEFORE 2023 (non-negotiable) * Strong hands-on coding engineer (not just architecture or MLOps) * GitHub / Git experience * CI/CD tools - specifically CloudBees and ElectricFlow ...

AI/ML Developer

Austin, TX · On-site

$49.75 - $68.50/hr

Job ID: TX-RITM123456 Hybrid/Local AI/ML Developer (12+) with Python/Bash, pre-built models/APIs, data integration/processing/automation, Git, CI/CD, Azure/AWS/Docker and agile experience Location:

Python AI/ML Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

Job Title Python Developer with AI/ML Employment Type Full-Time Work Location Onsite Experience Required 5-10 Years Summary Build secure Python and AI-enabled solutions for enterprise use cases. We ...

Python AI/ML Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

... Developer with AI exposure to develop backend applications and AI-enabled solutions. The role involves building secure, scalable Python applications and integrating AI/ML models into enterprise ...

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 ...

Required : • Experience in AI/ML solution development • Experience designing and implementing Intelligent Document Processing (IDP) solutions for document classification and information ...

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Ai Ml Developer information

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How much do ai ml developer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for ai ml developer in the United States is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $60.58 per hour, depending on experience, location, and employer.

What are AI/ML Developers?

AI/ML Developers are professionals who design, build, and implement artificial intelligence (AI) and machine learning (ML) systems. They work with algorithms, data, and programming languages to create models that enable machines to learn from data and make predictions or decisions. AI/ML Developers often collaborate with data scientists and engineers to deploy models into production, optimize performance, and solve real-world problems across various industries. Their skill set typically includes knowledge of Python, TensorFlow, PyTorch, and experience with data preprocessing and model evaluation.

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

AspectAi Ml DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; knowledge of ML frameworksBachelor's or master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and implements ML models, often in software development teamsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and machine learning, Ai Ml Developers primarily focus on creating and deploying ML models in software applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in their core objectives and daily tasks.

What are some common challenges AI/ML Developers face when deploying machine learning models to production?

AI/ML Developers often encounter challenges when transitioning from model development to production deployment. Issues such as data pipeline inconsistencies, model drift, and scalability can arise, requiring close collaboration with DevOps and data engineering teams. Ensuring reproducibility, managing version control for both code and data, and monitoring model performance over time are also critical tasks. Navigating these challenges successfully involves adopting robust MLOps practices and maintaining clear communication across interdisciplinary teams.

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

To excel as an AI/ML Developer, you need a strong background in computer science, statistics, and mathematics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and knowledge of version control systems are vital. Analytical thinking, problem-solving, and effective communication skills help you interpret data, collaborate with teams, and convey complex concepts clearly. These skills are crucial for developing robust machine learning models, ensuring project success, and driving innovation in AI solutions.
More about Ai Ml Developer jobs
What cities are hiring for Ai Ml Developer jobs? Cities with the most Ai Ml Developer job openings:
What states have the most Ai Ml Developer jobs? States with the most job openings for Ai Ml Developer jobs include:
Infographic showing various Ai Ml Developer job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 61% Part Time, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $109,490 per year, or $52.6 per hour.
AI-ML Developer

AI-ML Developer

UNISSANT

Ashburn, VA • On-site

Full-time

Posted 7 days ago


Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.

We are seeking an AI-ML Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border Protection (CBP).

Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

Essential Duties and Responsibilities:

As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer

  • Drive a big data approach to execute government requirements to manage and enrich data to gather new insights.
  • Develop, train, and deploy advanced AI/ML models, including generative AI techniques like large language models (LLMs).
  • Design and implement innovative AI solutions to address complex business challenges, such as natural language processing.
  • Optimize model performance, ensuring accuracy, efficiency, and scalability.
  • Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.
  • Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.
  • Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.
  • Responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management

Work Experience:

  • 5+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps/DevSecOps and technical architecture specifically.
  • Experience in architecture & design, with a preference for 3 years of experience deploying production enterprise applications on-prem or on cloud
  • Experience with classification, forecasting, transformers, and generative models.
  • Experience in data visualization using tools like Plotly and Matplotlib.
  • Experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environment.
  • Experience with machine learning and generative AI frameworks.
  • Experience with natural language processing techniques (e.g., text classification, language generation).
  • Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.

Job Skills:

  • Database Knowledge: Knowledge of database systems (e.g., SQL, NoSQL) and data warehousing concepts.
  • Generative AI Models: Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
  • Programming Languages: Strong proficiency in programming languages such as Python, R, Java, and C/C++.
  • Front-end Development: Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
  • Data Analytics: Expertise with libraries such as Pandas and NumPy for data manipulation and exploration.
  • ML Frameworks: Proficiency in ML Modeling concepts and frameworks like Sklearn, TensorFlow, Keras, PyTorch, and others.
  • Data Preprocessing: Strong skills in data encoding, normalizing, and regularizing to prepare datasets for ML models.
  • Deep Learning: Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory networks), and GANs (Generative Adversarial Networks), with the ability to apply them to real-world data sets and problems.
  • Anomaly Detection: Familiarity with anomaly detection techniques and deep learning models.
  • Cloud Platforms: Solid understanding of cloud services, such as AWS, Azure, or GCP, and deployment strategies.

Education:

  • Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.

Certificates, Licenses and Registrations:

  • This federal program requires the candidates to be a United States Citizen.
  • Must have a current CBP BI clearance or be eligible to obtain one.
  • Any related systems engineering, or related technical certifications are desired.
  • AWS/Azure/GCP AI/ML certifications are preferred but not required.

Communication Skills:

  • Excellent verbal and written skills, ability to present proposals and performance data, comfortable interfacing all levels of organization.
  • Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
  • Ability to write clear and concise creative content in a highly confidential manner
  • Solid ability to interface, inspire and motivate at various levels of the organization
  • Ability to convey technical information to non-technical individuals
  • Demonstrated experience communicating effectively across internal and external organizations.

Travel:

  • On-site in Ashburn, VA

Environmental Requirements:

  • Mainly sedentary; in an office environment
  • May be required to lift up to ten (10) pounds
  • Flexible in working extended hours

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)