Artificial Intelligence (AI) Engineer

Description

We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.

Responsibilities:
Partner with business leaders to understand operational pain points and identify where AI can create measurable value.
Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.
Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.
Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.
Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.
Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.
Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.
Contribute to the growth of the organization's AI capability through hands-on development, experimentation, and continuous improvement.

Requirements

3+ years of experience in artificial intelligence, machine learning, or a closely related engineering role.
Hands-on experience building AI solutions using TensorFlow and other modern machine learning frameworks.
Knowledge of machine learning methods, including model development, evaluation, and deployment practices.
Exposure to computer vision and detection-related applications is strongly preferred.
Ability to gather business requirements and convert them into practical technical solutions.
Strong communication skills with the ability to work effectively with business stakeholders and cross-functional teams.
Demonstrated curiosity, adaptability, and comfort working in a fast-evolving environment.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is preferred.

Technology Doesn't Change the World, People Do.

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