QG
Quest Global
AI Engineer

AI / ML Full Stack Developer

On-siteMidAI EngineerJust posted
✦Role summaryAI-generated

The role involves designing and implementing end‑to‑end AI/ML solutions integrated with full‑stack web applications for Quest Global's engineering projects. Candidates will work on model development, API services, and cloud deployment while collaborating with cross‑functional teams in Chennai.

Skills required

About this role

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


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