✨ About The Role
- The role involves designing, developing, and implementing AI/ML models and optimization algorithms to address business challenges.
- The candidate will work with large datasets to preprocess, analyze, and engineer features for model development, ensuring data quality and integrity.
- Responsibilities include applying optimization techniques to improve business operations and resource allocation.
- Collaboration with cross-functional teams is essential to identify problems and translate them into solvable AI/ML models.
- The position requires staying updated on the latest trends in optimization and machine learning, evaluating and applying emerging technologies to enhance system performance.
âš¡ Requirements
- The ideal candidate has 5-10 years of experience in AI/ML, optimization, and data science, demonstrating a proven track record in applying these skills to real-world business challenges.
- A strong analytical mindset is essential, with expertise in quantitative analysis, applied mathematics, and optimization algorithms.
- Proficiency in programming languages such as Python, R, and/or MATLAB is required, along with experience using libraries like TensorFlow and PyTorch.
- The candidate should possess a deep understanding of machine learning techniques, including supervised and unsupervised learning, as well as model validation.
- Strong communication skills are necessary to effectively convey technical concepts to non-technical stakeholders.