AI Engineer

HCL Global Systems, Inc.

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in systems analysis and software development.
  • Proficiency in Python and modern web application frameworks.
  • Familiarity with Microsoft Azure cloud services.
  • Experience using Git and employing pull-request collaboration techniques.
  • Understanding of AI development workflows and tools.
  • Ability to evaluate and test AI models effectively.
  • Strong communication skills, both verbal and written.

Responsibilities

  • Analyze and design software systems based on user requirements.
  • Develop and implement web applications using Python and relevant frameworks.
  • Manage cloud resources on Microsoft Azure to support applications.
  • Utilize version control with Git for code collaboration and review.
  • Integrate AI functionalities into software applications and conduct model evaluations.
  • Communicate technical concepts clearly to stakeholders and team members.
  • Follow secure development practices to protect sensitive data throughout the software lifecycle.

Benefits

  • Comprehensive health insurance packages.
  • 401(k) retirement plan with employer match.
  • Flexible working hours and remote work options.
  • Professional development opportunities, including training and certifications.
  • Wellness programs including mental health resources.
Full Job Description
Knowledge of principles and techniques of systems analysis, design, development, and programming.
Knowledge of modern programming languages, with emphasis on Python and related web application frameworks.
Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure.
Knowledge of source control practices, including Git and pull-request-based collaboration.
Knowledge of modern AI-assisted software development workflows and tools.
Ability to compare and select AI models (for example, A/B testing two models on a task)
Interpersonal, oral, and written communication skills.
Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications.
Ability to take a user request from intake through deployment to production with appropriate guidance.

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