Description

In this role, you will work closely with a diverse team to develop and enhance AI and Machine Learning solutions that support climate action. Daily tasks will involve building robust systems, deploying ML models, and ensuring the reliability of AI technologies.

Requirements

• •Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field
• •At least 3 years of experience in a Machine Learning role
• •Experience building and maintaining professional Machine Learning/Generative AI systems at scale
• •Proficiency in Machine Learning methods like Regression, Classification, Time Series Forecasting, Recommendation, Outlier Detection
• •Experience with Generative AI, including large language models, embeddings, and libraries like LangChain or Llamaindex
• •Strong proficiency in Python and Machine Learning libraries (e.g. scikit-learn, PyTorch, TensorFlow) and experience with AWS ecosystem
• •Strong communication and collaboration abilities
• •Very good command of English

Tasks

• •Collaborate with Data Scientists, Engineers, Product Managers, and stakeholders
• •Translate requirements into technical solutions
• •Identify and evaluate GenAI/ML use cases
• •Improve internal services and client-facing products
• •Build and maintain robust GenAI/ML systems
• •Manage cloud infrastructure and monitoring
• •Build, train, and deploy ML models
• •Focus on benchmarking, recommendations, and forecasting carbon footprint
• •Implement automated testing and monitoring techniques
• •Ensure accuracy and reliability of AI systems
• •Drive the entire technical workflow
• •Manage related project responsibilities
• •Stay updated on the latest advancements in AI
• •Advocate Data Science and ML fundamentals in the Digital department

Tools & Technologies

Benefits