Research Scientist - Machine Learning

Job Description Summary

L'ingénieur senior en analytique sera chargé de fournir de nouvelles solutions analytiques réutilisables au niveau commercial (packages de plans analytiques) afin de stimuler la croissance des équipes de support pour les produits compatibles avec la couverture relative aux ressources, aux applications et à l'industrie (modèle SaaS). Vous tirerez parti de la suite standard comprenant des algorithmes et des analyses de plates-formes et de modules de base. Vous posséderez également des compétences en matière d'applications logicielles et une expérience approfondie en ingénierie et en analyse.

Job Description

Roles and responsibilities

• Develop novel AIML algorithms and methodologies applicable to control systems engineering and anomaly detection problems.
• Analyse large time series datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment.
• Implement and optimize AIML algorithms and models.
• Design and conduct experiments to test the performance and robustness of AIML-based solutions.
• Document research findings, methodologies, and implementation details for knowledge sharing and future reference.
• Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms.
• Keep abreast of the latest advancements in AIML, control systems, and signal processing engineering through literature review and participation in relevant conferences and seminars.

• PhD with 2 - 5 Years Experience or Master's degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field.
• Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence.
• Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar.
• Experience with data analysis and manipulation using tools like Pandas, NumPy, or MATLAB. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.
• Basic knowledge of cloud-based architectures
• Excellent problem-solving skills and ability to think critically and creatively.
• Strong communication skills and ability to work effectively in a collaborative team environment.
• Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.