Artificial Intelligence Engineer

AI Engineering Specialist

Job Description Summary

Responsible for designing, building, delivering and maintaining software applications & services. Working in the areas of machine, cloud, platform and/or application. Responsible for software lifecycle including activities such as requirement analysis, documentation/procedures and implementation.

Job Description

Roles and Responsibilities

In this role, you will:
• Collaborate with system engineers, frontend developers and software developers to implement solutions that are aligned with and extend shared platforms and solutions
• Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
• Writes codes that meets standards and delivers desired functionality using the technology selected for the project
• Build features such as web services and Queries on existing tables
• Understand performance parameters and assess application performance
• Work on core data structures and algorithms and implement them using language of choice

Education Qualification

Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience.

Technical Expertise:

• Strong foundation in Computer Science fundamentals (data structures, algorithms, OOP)
• Proficiency in Python (primary) and familiarity with at least one other language (Java/C++)
• Solid understanding of Machine Learning concepts:
  • Supervised & unsupervised learning
  • Classification, regression, clustering
  • Model evaluation metrics
• Hands‑on experience with ML libraries/frameworks:
  • NumPy, Pandas, Scikit‑learn
  • Basic exposure to TensorFlow or PyTorch
• Understanding of AI/ML math fundamentals:
  • Linear algebra
  • Probability & statistics
  • Basic calculus
• Experience with data preprocessing and feature engineering
• Familiarity with model training, validation, and tuning
• Knowledge of REST APIs and how AI models are consumed in applications
• Experience using Git/version control

Business Acumen:
• Has the ability to break down problems and estimate time for development tasks.
• Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.
• Displays understanding of the project's value proposition for the customer. Shows commitment to deliver the best value proposition for the targeted customer.
• Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision

Personal/Leadership Attributes:
• Voices opinions and presents clear rationale. Uses data or factual evidence to influence.
• Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision.
• Completes assigned tasks on time and with high quality. Takes independent responsibility for assigned deliverables.
• Has the ability to break down problems and estimate time for development tasks.
• Seeks to understand problems thoroughly before implementing solutions. Asks questions to clarify requirements when ambiguities are present.
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks

Additional Information

Relocation Assistance Provided: No

Experience Level

Mid Level