Quest Global is looking to solve critical and large-scale challenges across various industries by leveraging deep industry knowledge and digital expertise to deliver world-class end-to-end engineering solutions. They are seeking individuals to design, develop, and test ML systems to address these challenges.
Requirements
- Expert-level proficiency in Python is standard
- In-depth knowledge of ML frameworks such as TensorFlow / PyTorch
- Solid understanding of probability, statistics, linear algebra, and calculus is essential for algorithm development and model evaluation.
- Experience with software architecture, data structures, unit testing, version control (Git), and general software development best practices.
- Familiarity with tools for processing data
- Experience with cloud services for deploying and managing ML models (AWS).
- Experince with Data pipelines, SQL and Snowflake
Responsibilities
- Designing, and Developing ML systems .
- Collaborating with data scientists and engineers to select, collect, clean, preprocess, and analyze large datasets for model training and feature engineering.
- Time series forecasting
- Implementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch.
- Building scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes, and cloud platforms like AWS), and creating APIs for application integration.
- Dashboard and Data Analytics
- Analysis to interpret results, and monitor deployed models for performance and potential issues.
Other
- Domain: Demand and supply planning
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Adaptability and a commitment to continuous learning in a fast-evolving field
- Full time
