Leverage expertise in data science and AI to develop solutions that tackle complex, real-world problems for both internal and external customers.
Requirements
- Strong expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling techniques
- Extremely experienced in programming languages such as Python, R, and SQL for data manipulation and analysis
- Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)
- Experience with big data technologies (e.g., Snowflake, Google BigQuery) and cloud computing platforms (e.g., AWS, GCP, Azure)
- Hands-on experience in building solutions leveraging the latest AI capabilities and advancements, including large language models, generative AI, and other state-of-the-art techniques
- 8+ years of hands-on experience in developing and deploying AI/ML models in a production environment
- Experience operating as a technical lead
Responsibilities
- Lead and drive the development and implementation of AI/ML models and algorithms to drive innovation across the AI within our water products
- Create the technical strategic vision for data science within water products
- Drive rapid prototyping efforts, focusing on learning from experiments, iterating on solutions
- Demonstrate innovative and creative thinking to develop novel AI/ML approaches and solutions
- Partner with product teams in order to embed AI/ML model solutions into physical and digital products
- Conduct in-depth data analysis and feature engineering to extract valuable insights and improve model performance
- Partner with our ML engineering team to design, develop, and deploy scalable and robust AI/ML solutions to solve complex business problems and improve operational efficiency
Other
- Collaborate with business stakeholders and cross-functional teams across the organization to identify and prioritize high-impact use cases for AI/ML applications
- Identify key insights from large data sources; interpret and communicate insights from data and analysis to product, service, and business managers
- Continuously monitor and optimize AI/ML models to ensure their accuracy, reliability, and performance in production environments
- Stay up-to-date with the latest advancements in AI/ML technologies and apply them to drive innovation and maintain a competitive edge
- Lead projects with both hands-on coding/analysis and thought leadership with a minimum viable product and minimum lovable product mindset leveraging the best technologies and methodologies appropriate for the business need and maturity
