Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master’s or Ph.D. degree in computer science or a related quantitative field, such as statistics. Strong leadership and team management skills are essential, along with experience in machine learning engineering and a deep understanding of artificial intelligence concepts.
The Director of Machine Learning and Engineering will lead and grow a team of machine learning engineers, providing guidance and mentorship to foster their professional development. They will oversee the fine-tuning and deployment of LLMs, including RAG in an agentic framework, focusing on optimizing model performance and scalability. The role involves integrating AI tools and third-party solutions, such as OpenAI GPT and Google Gemini, while collaborating with engineering, product, and design teams to build robust APIs and seamlessly integrate AI solutions into Angi’s products. Furthermore, the Director will foster innovation within the team and explore new approaches to solve complex business problems.
Sustainability consulting for ESG performance ratings
Angi Sustainability focuses on sustainability consulting by providing Environmental, Social, and Governance (ESG) performance ratings and science-based targets for investments. The company collaborates with organizations like the Carbon Disclosure Project and the United Nations Global Compact to help institutional investors and corporations improve their ESG practices. Angi Sustainability stands out by offering both consultancy services and subscription-based analytical tools, allowing clients to measure and enhance their sustainability efforts. The goal is to support clients in making responsible investment decisions and advancing their sustainability initiatives.