AI / ML Full Stack Developer

Quest Global is a global engineering services company that supports customers across a range of industries, including Aerospace & Defence, Automotive, Energy, Hi-Tech, MedTech & Healthcare, Rail, and Semiconductors. The company operates across multiple countries with engineering and delivery centres worldwide.

We believe the hardest engineering problems need polymaths: curious minds who see engineering everywhere and bring different perspectives, experiences and ideas to their work. At Quest Global, we celebrate engineers who question, explore and look beyond the obvious to find better answers. Job Requirements 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

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

Requirements

Strong proficiency in Python (knowledge of C++ is a plus). Solid understanding of statistics, linear algebra, and probability behind ML. Hands-on experience with NumPy, SciPy, Pandas, scikit-learn. Experience of implementing ML algorithms with clear understanding of underlying concepts. Knowledge of neural networks, including CNNs and LSTMs, with ability to code models. Good understanding of OOP. Notice period only 30 days or less considered.

Good to Have

Background or familiarity with mechanical engineering concepts Experience with chatbots, LLMs, or AI applications