AI Engineer

Quest Global AI Solutions Architect

At Quest Global, it's not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

Responsible for designing, implementing, and overseeing AI solutions that align with business objectives

• System Design: Architect robust AI frameworks and infrastructure for scalability and performance.
• Model Development: Design and implement AI/ML models, algorithms, and pipelines.
• Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.
• Optimization & Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency.
• Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).
• Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices
• Security & Compliance: Data anonymization, secure model deployment, bias detection

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

• Programming Languages: Python, Java, or Node.js for AI system development.
• Machine Learning & Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability.
• Data Engineering & MLOps: ETL tools (Airflow, dbt), CI/CD for ML (MLflow, DVC), feature stores.
• Cloud Platforms: AWS, Azure, or GCP for AI deployment and scalability.
• System Design & Architecture: Knowledge of microservices, APIs, distributed systems, and containerization (Docker, Kubernetes).
• Security & Compliance: Data anonymization, secure model deployment, bias detection