Appcast

AI/ML Engineer

Appcast$103K — $181K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a relevant field (Computer Science, Data Science, etc.)
  • 5+ years of experience in software or machine learning engineering
  • Advanced knowledge of AI/ML and statistical modeling concepts
  • Proficiency in Python and popular AI/ML frameworks
  • Experience with deployment in production environments
  • Knowledge of MLOps practices and CI/CD pipelines
  • Strong analytical and communication skills
  • Must possess an active SECRET security clearance

Responsibilities

  • Support AI/ML program implementations and strategic planning
  • Design and deploy ML and AI models to address operational challenges
  • Collaborate with cross-functional teams to define AI/ML requirements
  • Develop and maintain data pipelines and model training workflows
  • Monitor and optimize model performance in production
  • Investigate and resolve issues related to AI/ML applications
  • Ensure compliance with security and ethical regulations

Benefits

  • Medical, dental, and vision insurance
  • Paid time off and flexible work schedules
  • Employee Stock Ownership Plan (ESOP)
  • 401(k) plan
  • Life insurance
  • Paid holidays
Full Job Description

Job Description:

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions that support business, operational, and customer-facing products and services.

What You'll Be Doing:

  • Supports AI/ML program and project implementation efforts and makes significant contributions to department goals, innovation initiatives, and strategic planning activities.

  • Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models to solve business and operational challenges.

  • Collaborates with data scientists, software engineers, product owners, and business stakeholders to define AI/ML requirements and solution approaches.

  • Develops and maintains data pipelines, feature engineering processes, and model training workflows.

  • Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.

  • Investigates and resolves defects, performance issues, and operational incidents related to AI/ML applications and services.

  • Oversees model testing, validation, and quality assurance activities to ensure solutions meet business, regulatory, and technical requirements.

  • Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.

  • Evaluates emerging AI technologies, machine learning frameworks, and industry best practices to improve organizational capabilities.

  • Ensures AI/ML solutions comply with security, privacy, ethical AI, and governance requirements.

  • Documents model architecture, assumptions, performance metrics, and deployment procedures.

  • Acts as a technical resource to managers, engineers, analysts, and other employees throughout the organization.

  • Performs other responsibilities associated with this position as may be appropriate.

What Required Skills You'll Bring:

  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Mathematics, Statistics, or related field.

  • 5+ years of related professional experience in software engineering, machine learning engineering, data science, or artificial intelligence development.

  • Advanced knowledge of machine learning, artificial intelligence, statistical modeling, and predictive analytics concepts.

  • Experience developing and deploying machine learning models in production environments.

  • Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies.

  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred.

  • Knowledge of MLOps practices, CI/CD pipelines, model monitoring, and deployment automation.

  • Experience working with structured and unstructured data sources and large-scale datasets.

  • Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to work effectively under pressure and manage multiple priorities.

  • Advanced written and verbal communication skills.

  • Proficiency in Microsoft Office applications.

  • Advanced time management and organizational skills.

  • Ability to communicate complex technical concepts to both technical and non-technical audiences.

  • Must possess a SECRET Clearance (highly preferred TS/SCI or above)

What Desired Skills You'll Bring:

  • Experience deploying AI/ML solutions in enterprise or production environments preferred.

  • AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred.

  • Generative AI, LLM, or MLOps certifications preferred.

Security Clearance Requirement:

An active Secret security clearance is required for this position.​

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: $103,500.00 - $181,100.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

About Appcast

Appcast is a global leader in programmatic recruitment advertising technology. More than just a job board, Appcast?s programmatic recruitment advertising exchange connects employers and job seekers through real-time bidding and automatic job ad optimization. Appcast?s proprietary technology and advanced data analysis tools enable employers to source and hire top talent quickly, efficiently, and cost-effectively. Appcast is headquartered in Lebanon, New Hampshire, with offices in Boston, New York City, San Francisco, London, Manchester, and Budapest.
Learn more about Appcast
Size
200 employees
Industry
Founded
2014

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