Lead AI Software Engineer developing and enhancing analytics platform tackling climate change. Collaborating with teams to drive technological innovation and improve usability in data systems.
Responsibilities
spearhead the development of cutting-edge AI opportunities, both for internal teams and clients
be at the forefront of AI and technology while also acting as a software engineer responsible for developing and supporting core modelling and analytics platform
enhancing the platform by adding new features
improving the performance and usability of data schemas
refining data visualizations
collaborate closely with product design, modelling, analytics, and customer-facing teams to help customers tackle climate change
Requirements
Demonstrable experience writing clean, effective, and well-tested application code, with a strong proficiency in Python
Proven experience in production environment with AI technologies and a strong understanding of emerging trends and research and proven ability to align it with business objectives
Experience architecting, designing, deploying and documenting scalable and robust AI applications and ETL workflows in cloud environments
Ability to move prototypes to scalable and secure applications in data-sensitive environments
Experience providing technical guidance and mentorship to junior and mid-level engineers, fostering a culture of technical excellence and continuous learning
Strong verbal and written communication skills and the ability to work effectively in a collaborative team environment
Proven ability to work effectively with analysts and management to understand and overcome business and data analysis challenges
A collaborative and iterative approach to work, with experience in an Agile/SCRUM development environment
A strong research and development (R&D) mindset, with a passion for innovation and creative problem-solving
A passion for new technologies and the ability to effectively integrate them within the stack when appropriate
Familiarity with frameworks like Google ADK or Langgraph is a significant advantage
Experience with the GCP VertexAI stack and generative AI models like Google Gemini would be a bonus
Experience with evals for gen ai and building testing frameworks for AI applications
Experience with React and Java Script is a plus
Strong skills in the Pydata stack such as Pandas, Numpy, Zarr
Familiarity with CI/CD process, source control tools and automated deployment processes
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