AI/ ML Engineer

We are looking for an experienced AI/ML Engineer to join our team and drive the implementation of data-driven solutions across the organization. The successful candidate will work closely with business stakeholders throughout the entire lifecycle of Data Analytics, Machine Learning, and AI solutions, translating business requirements into effective technical designs and delivering production-ready implementations.

The ideal candidate combines strong data analysis and SQL expertise with hands-on experience in developing ML models, AI agents, and automation solutions. Experience in Accounting, Financial Planning & Analysis (FP&A), or Asset Portfolio Management is highly valued.

Key Responsibilities

• Collaborate directly with business stakeholders throughout the lifecycle of Data Analytics, Machine Learning, and AI solutions.
• Understand business requirements and translate them into technical solution designs aligned with business objectives and platform capabilities.
• Design, develop, and implement ML models, AI agents, and automation processes to address business challenges.
• Develop and deploy AI/ML solutions on top of relational databases and document stores.
• Perform advanced data analysis and develop SQL queries to support analytics and AI/ML use cases.
• Design intuitive and user-friendly interfaces and experiences for analytics solutions.
• Integrate AI/ML capabilities into existing data platforms and business processes.
• Collaborate with QA engineers during System Integration Testing (SIT), supporting testing activities and ensuring solution quality.
• Manage production deployments in accordance with established CI/CD processes and release standards.
• Troubleshoot and resolve production issues related to existing AI/ML assets.
• Contribute to Agile ceremonies, technical discussions, and continuous improvement initiatives.
• Maintain technical documentation and ensure adherence to development standards and best practices.

Required Qualifications and Experience

Professional Experience

• Minimum of 5 years of experience in Data Analytics, Machine Learning, and/or Artificial Intelligence.
• Experience working on data projects within Accounting, Financial Planning & Analysis (FP&A), or Asset Portfolio Management domains is highly valued.
• Proven experience delivering solutions within Agile teams.

Technical Skills

• Strong hands-on experience implementing ML/AI use cases on relational databases and document stores.
• Expert-level data analysis and SQL programming skills.
• Knowledge of UX/UI design principles for analytics applications and solutions.
• Experience with Git and CI/CD practices, including multi-branch development workflows.
• Ability to design, develop, test, and deploy production-ready AI/ML solutions.

Soft Skills

• Fluent in English, with excellent written, reading, and spoken communication skills.
• Strong team player with a collaborative mindset.
• Delivery-focused, with a commitment to quality and continuous improvement.
• Ability to communicate effectively with business stakeholders beyond purely technical discussions.
• Strong analytical and problem-solving skills.
• Ability to translate business needs into practical and scalable technical solutions.

Nice-to-Have Skills

• Exposure to Snowflake Cortex AI components.
• Experience with dbt.
• Exposure to Databricks ML/AI components.
• Experience developing AI agents and intelligent automation solutions.

What We Offer

• The opportunity to develop innovative AI/ML solutions with tangible business impact.
• Collaboration with business stakeholders and multidisciplinary Agile teams.
• The opportunity to contribute to the evolution of enterprise data and AI capabilities.

The ideal candidate combines strong data analysis and SQL expertise with hands-on experience in developing ML models, AI agents, and automation solutions. Experience in Accounting, Financial Planning & Analysis (FP&A), or Asset Portfolio Management is highly valued., * Minimum of 5 years of experience in Data Analytics, Machine Learning, and/or Artificial Intelligence.

• Experience working on data projects within Accounting, Financial Planning & Analysis (FP&A), or Asset Portfolio Management domains is highly valued.
• Proven experience delivering solutions within Agile teams.

Technical Skills

• Strong hands-on experience implementing ML/AI use cases on relational databases and document stores.
• Expert-level data analysis and SQL programming skills.
• Knowledge of UX/UI design principles for analytics applications and solutions.
• Experience with Git and CI/CD practices, including multi-branch development workflows.
• Ability to design, develop, test, and deploy production-ready AI/ML solutions.

Soft Skills

• Fluent in English, with excellent written, reading, and spoken communication skills.
• Strong team player with a collaborative mindset.
• Delivery-focused, with a commitment to quality and continuous improvement.
• Ability to communicate effectively with business stakeholders beyond purely technical discussions.
• Strong analytical and problem-solving skills.
• Ability to translate business needs into practical and scalable technical solutions.

Nice-to-Have Skills

• Exposure to Snowflake Cortex AI components.
• Experience with dbt.
• Exposure to Databricks ML/AI components.
• Experience developing AI agents and intelligent automation solutions.

• The opportunity to develop innovative AI/ML solutions with tangible business impact.
• Collaboration with business stakeholders and multidisciplinary Agile teams.
• The opportunity to contribute to the evolution of enterprise data and AI capabilities.