We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.
Requirements:
Preferably M.Sc. or an outstanding B.Sc. graduate in a quantitative discipline (e.g., Data Science, Computer Science, Industrial Engineering, or equivalent).
Knowledge of Data Science techniques, algorithms, and processes.
5+ years of hands-on experience in production environments, preferably involving ranking systems, A/B test design, management, and evaluation.
Proficiency in data manipulation, visualization, and machine learning packages (pandas/polars, NumPy, scikit-learn, PyTorch).
Advanced knowledge of SQL.
Excellent analytical and algorithmic skills, with the ability to infer conclusions and creatively offer solutions based on data analysis.
Strong teamwork skills, including experience representing the team in a professional manner in front of senior management.
Effective communication skills, with the ability to explain complex topics clearly in English.
Proven leadership experience, with strong ownership and independence.
Preferably M.Sc. or an outstanding B.Sc. graduate in a quantitative discipline (e.g., Data Science, Computer Science, Industrial Engineering, or equivalent).
Knowledge of Data Science techniques, algorithms, and processes.
5+ years of hands-on experience in production environments, preferably involving ranking systems, A/B test design, management, and evaluation.
Proficiency in data manipulation, visualization, and machine learning packages (pandas/polars, NumPy, scikit-learn, PyTorch).
Advanced knowledge of SQL.
Excellent analytical and algorithmic skills, with the ability to infer conclusions and creatively offer solutions based on data analysis.
Strong teamwork skills, including experience representing the team in a professional manner in front of senior management.
Effective communication skills, with the ability to explain complex topics clearly in English.
Proven leadership experience, with strong ownership and independence.
This position is open to all candidates.
