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Full Stack AI/ML Developer - Digital Products (Remote)

  • Source: LinkedIn
  • Ladders
  • Remote
  • United States
  • Full-Time
  • Mid level

Job Description

For our client, we are seeking a Full Stack AI/ML Developer - Digital Products to join the team of a leader in the Aerospace & Defense space.

This role will focus on building and enhancing digital products that combine modern software engineering with AI/ML capabilities. You will collaborate with cross-functional teams to deliver scalable, user-friendly applications from concept through deployment. The position will also support integration of data science models, robust APIs, and cloud-native services to improve performance, reliability, and functionality.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $157,200 – $298,800 annually

Responsibilities

  • Collaborate with cross-functional teams to develop digital products from start to finish
  • Create front-end architectures and responsive user interfaces
  • Design and code back-end services using languages such as C#, Java, and Python
  • Build scalable APIs and microservices integration
  • Work with data scientists to integrate AI/ML models into applications
  • Maintain data and application pipelines for AI/ML functionality
  • Implement DevOps practices including CI/CD and automated testing

Qualifications

  • Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or a related field with significant experience
  • Over 10 years in data engineering, architecture, analytics, or similar fields
  • 5+ years designing cloud-native data platforms using Azure, AWS, or GCP
  • Experience with modern data architectures including Databricks and ELT/ETL tools
  • Familiarity with AI frameworks such as MLflow, PyTorch, or TensorFlow

Benefits

  • Medical, dental, and vision insurance
  • 401(k) matching
  • Flexible work schedules
  • Employee assistance and scholar programs
  • Parental leave and paid time off

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Skills

  • c-sharp
  • Java
  • Python
  • microsoft-azure
  • amazon-web-services
  • google-cloud-platform
  • azure-databricks
  • databricks
  • ml-flow
  • mlflow
  • PyTorch
  • Tensorflow

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