RK - AI/ML Engineer

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.

Programming Languages

• Python, Java/Scala: Commonly used in big data frameworks like Apache Spark.
• C++: Useful for high-performance applications, such as those needing faster execution times.

Libraries and Frameworks

• TensorFlow, PyTorch, Keras & Scikit-learn

Data Manipulation and Analysis

• Pandas, NumPy, SQL & Data Wrangling

Machine Learning Concepts

• Supervised Learning: Understanding classification and regression models.
• Unsupervised Learning: Techniques such as clustering and dimensionality reduction.
• Reinforcement Learning: Familiarity with algorithms relevant to decision-making processes.

Neural Networks and Deep Learning

• Convolutional Neural Networks (CNNs): For image processing tasks.
• Recurrent Neural Networks (RNNs): For sequence data like time series and natural language.
• Generative Models: Such as GANs (Generative Adversarial Networks) for generating new data.

Tools and Platforms

• Jupyter Notebook: An interactive environment for exploratory data analysis and development.
• Git: Version control for managing codebases.
• Docker: For containerization of applications, ensuring consistency across environments.
• Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure for deploying ML models.

Software Development Skills

• APIs: Creating and consuming RESTful APIs for model deployment.
• Software Development Lifecycle (SDLC): Understanding the phases of software development and methodologies (e.g., Agile, DevOps).
• Testing and Debugging: Techniques for ensuring code quality and model performance.

Big Data Technologies

• Hadoop: For distributed data processing.
• Spark: For big data analytics and processing.
• NoSQL Databases: Such as MongoDB or Cassandra for handling unstructured data.

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.

BE - Engineering

Exp: 2-3 years of experience