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AI/ML Software Engineer

Annapolis Junction, MD

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Apply at Pointertechnologies

What you’ll work on

Full posting
  • You will collaborate with cross-functional teams to solve challenging problems, develop robust software systems, and deploy AI-powered features into production.

  • Develop and optimize machine learning models for real-world and national security and defense applications

  • Build and maintain scalable data pipelines for model training and deployment.

From the employer’s posting
Pointer Technologies is seeking a talented and passionate Software Engineer specializing in Artificial Intelligence and Machine Learning (AI/ML) to join our team. You will collaborate with cross-functional teams to solve challenging problems, develop robust software systems, and deploy AI-powered features into production. The ideal candidate will have a broad technical background, and the ability to design, build, and deploy scalable AI/ML models that align with our mission. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.
Responsibilities Develop and optimize machine learning models for real-world and national security and defense applications Build and maintain scalable data pipelines for model training and deployment.
Develop and optimize machine learning models for real-world and national security and defense applications Build and maintain scalable data pipelines for model training and deployment. Collaborate with product, engineering, and data teams to understand requirements and translate them into actionable solutions.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
  • Experience with specific AI domains, such as natural language processing (NLP), computer vision, or reinforcement learning.
  • Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Understanding of MLOps principles and tools like MLflow or Kubeflow.
  • Solid understanding of algorithms, data structures, and statistical methods.
  • Experience building and deploying machine learning models into production environments.
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
Experience with specific AI domains, such as natural language processing (NLP), computer vision, or reinforcement learning.
Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Understanding of MLOps principles and tools like MLflow or Kubeflow.
Solid understanding of algorithms, data structures, and statistical methods.
Experience building and deploying machine learning models into production environments.
Education & alternatives
Requirements - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. - Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Tools in this posting

  • Java
  • Python
  • R
  • AWS
  • Azure
  • MLflow
  • Spark
  • PyTorch
  • TensorFlow
  • Hadoop
  • scikit-learn
Source — Tool mentions in context
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. - Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Solid understanding of algorithms, data structures, and statistical methods.
- Experience building and deploying machine learning models into production environments. - Knowledge of cloud platforms such as AWS or Azure for AI/ML workflows. - Familiarity with data wrangling, ETL pipelines, and big data tools (e.g., Spark, Hadoop).
- Experience with specific AI domains, such as natural language processing (NLP), computer vision, or reinforcement learning. - Understanding of MLOps principles and tools like MLflow or Kubeflow. - Contributions to open-source AI/ML projects.
- Knowledge of cloud platforms such as AWS or Azure for AI/ML workflows. - Familiarity with data wrangling, ETL pipelines, and big data tools (e.g., Spark, Hadoop). Nice To Have

Benefits in the posting

Full benefits wording
  • Health Insurance through Blue Cross Blue Shield
  • Dental, vision, long-term & short-term disability and life insurance
  • 10% 401K matching with immediate vesting
  • 248 hours of PTO with the ability to flex higher or lower
  • Paid military leave
  • Paid maternity leave
  • Internal referral profit sharing
  • Employee Equity Program
  • Quarterly all hands to promote transparency
  • Paid company lunches
  • Culture building events and parties
  • The best company swag around

From the employer’s posting.

About Pointertechnologies

Pointer Technologies is Mission Forward and Employee Owned.

In the employer’s words · Read in context

Job description

View original posting ↗

Pointer Technologies is seeking a talented and passionate Software Engineer specializing in Artificial Intelligence and Machine Learning (AI/ML) to join our team. You will collaborate with cross-functional teams to solve challenging problems, develop robust software systems, and deploy AI-powered features into production.

The ideal candidate will have a broad technical background, and the ability to design, build, and deploy scalable AI/ML models that align with our  mission. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.

Responsibilities

  • Develop and optimize machine learning models for real-world and national security and defense applications
  • Build and maintain scalable data pipelines for model training and deployment.
  • Collaborate with product, engineering, and data teams to understand requirements and translate them into actionable solutions.
  • Conduct research to explore new AI/ML techniques and stay updated on the latest industry advancements.
  • Evaluate model performance, troubleshoot issues, and fine-tune solutions for optimal results.
  • Write clean, maintainable, and well-documented code.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
  • Strong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of algorithms, data structures, and statistical methods.
  • Experience building and deploying machine learning models into production environments.
  • Knowledge of cloud platforms such as AWS or Azure for AI/ML workflows.
  • Familiarity with data wrangling, ETL pipelines, and big data tools (e.g., Spark, Hadoop).

Nice To Have

  • Experience with specific AI domains, such as natural language processing (NLP), computer vision, or reinforcement learning.
  • Understanding of MLOps principles and tools like MLflow or Kubeflow.
  • Contributions to open-source AI/ML projects.
  • Published research or patents in the AI/ML space.
  • Technical leadership experience.

Clearance

TS/SCI clearance with polygraph required

About Us

Pointer Technologies is Mission Forward and Employee Owned.

We leverage talented engineers and effective technologies to drive success in our nation’s National Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen.

Here are some of our core values:

Employee Ownership

At Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success. 

Transparency

Since every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees. 

Talent

At Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team. 

Meaningful Work

At Pointer Technologies we support work that is impactful to our nation’s National Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation.

Benefits

  • Health Insurance through Blue Cross Blue Shield
  • Dental, vision, long-term & short-term disability and life insurance
  • 10% 401K matching with immediate vesting
  • 248 hours of PTO with the ability to flex higher or lower
  • Education and training budget of $5,250
  • Paid military leave
  • Paid maternity leave
  • Internal referral profit sharing
  • Employee Equity Program
  • Quarterly all hands to promote transparency
  • Paid company lunches
  • Culture building events and parties
  • The best company swag around
*Learn more and find additional details on our benefits page.

______

Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status.

Your next step

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on pointertechnologies.applytojob.com. The employer’s form will show what is required.

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Annapolis Junction, MD

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Status in our records
Active
First seen by us
Jun 3, 2026
Recorded sightings
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Last seen by us
Sep 30, 2026

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