At Brightspeed, the business problem is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience.
Requirements
- 5+ years of experience of building AI and/or machine learning models for business applications
- 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying models in production
- 3+ years of experience with data lake and cloud services, preferably GCP
- Deep expertise in machine learning, neural networks, computer vision, large language models, natural language processing or similar disciplines
- Demonstrated experience in algorithm selection, model training, feature engineering, fine-tuning performance and implementation
- Proficiency in Python and key data science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn
- Strong capabilities in SQL and experience working with SQL query engines
Responsibilities
- Lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring.
- Dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets.
- Integrate and curate data from a wide range of internal and external sources to develop rich datasets for predictive & prescriptive modeling as well as machine learning.
- Define and implement best practices to generate accurate reports, visualizations & dashboards to explain results simply and succinctly to technical and non-technical users.
- Create models for visual recognition, processing of natural language that analyze complex data to make predictions or decisions, mimicking human intelligence.
- Identify the most effective model architecture and parameters to drive accuracy and performance.
- Liaise with stakeholders to understand their needs and concerns and develop concise analytics to provide actionable insights to influence strategy and performance.
Other
- Bachelor’s degree or higher in Computer Science, Operations Research, Statistics, Mathematics or related field.
- Master’s degree strongly preferred.
- Ability to clearly articulate insights (verbal and written)
- Ability to effectively communicate technical and non-technical information and concepts to all levels of the organization
- Unwavering focus on results while creating strong relationships
