respl
Role Overview: We are seeking a Research Engineer to develop AI-driven solutions at the intersection of energy, climate science, and artificial intelligence. You will play a pivotal role in product development, leveraging data science and machine learning to solve engineering challenges.
Develop and deploy data-driven solutions for energy and power market applications. Analyze large, diverse data sets: meteorological, local sensors (wind, solar, consumption), images (satellite images, etc.). Solve core engineering problems with AI/ML techniques, domain expertise, and advanced modeling. Design and build scalable pipelines for training, testing, and deploying models. Communicate complex ideas effectively to both technical and non-technical stakeholders. Collaborate across teams to drive product development and ensure impactful outcomes. Expectations : Ability to move from broad vision to technical solutions. Ownership mindset: accountability for effort and outcomes. Integrity, transparency, and teamwork.
Strong analytical skills with a data-driven and scientific approach. Proficiency in Python, capable of handling both structured and unstructured data. Prior experience (industry or academia) building machine learning or deep learning based AI solutions. Prior experience in LLM & GenAI is a plus.