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.

 Developing AI / Gen AI Models and Algorithms:

  * Designing, building, and training machine learning and deep learning models.

   * Implementing algorithms for tasks like natural language processing (NLP), computer vision, and predictive analytics.

* Integrating AI into Applications:

   * Embedding AI functionalities into existing software systems and applications.

   * Developing APIs and interfaces for AI-powered features.

* Data Handling and Processing:

   * Working with large datasets, including data cleaning, preprocessing, and feature engineering.

   * Ensuring data quality and integrity for AI model training.

* Collaboration and Communication:

   * Working closely with data scientists, engineers, and stakeholders.

   * Communicating technical concepts to non-technical audiences.

* Optimization and Deployment:

   * Optimizing AI models for performance, scalability, and efficiency.

   * Deploying AI solutions to production environments.

* Staying Current with AI Trends:

   * Continuously learning and researching the latest AI technologies and advancements.

E

Work Experience

Programming Languages:

   * Proficiency in Python, and potentially other languages like Java, or C++.

* Machine Learning and Deep Learning Frameworks:

   * Experience with libraries like TensorFlow, PyTorch, and scikit-learn.

 * Gen AI 

   Experience of various generative models like GPT, VAE, GANs, and Diffusion  Models is crucial. 

* Data Science Skills:

   * Knowledge of data analysis, statistical modeling, and data visualization.