Senior Machine Learning Engineer

Summary

Join Zepz, a leading global remittance company, as a Data Scientist focusing on FinCrime. You will own existing fraud detection models, integrate new data sources, automate model training and deployment, and build experiments to evaluate new models. This role requires strong SQL and Python skills, experience with machine learning models, and the ability to translate commercial requirements into technical solutions. The position offers a remote-first work environment, unlimited annual leave, private medical cover, retirement plans, life assurance, and parental leave. Zepz values a diverse and inclusive workplace and encourages applications from all backgrounds.

Requirements

• 4+ years of professional experience training and deploying models that deliver measurable value (regression, clustering, decision trees, cost-sensitive Machine Learning etc with an emphasis on gradient boosting-based methods)
• Strong SQL skills, confidently able to pull and manipulate data to get into the desired format for modelling (CTEs, joins, case statements, subqueries)
• Possess strong Python skills, able to automate processes and deploy applications. you are able to deploy your stuff and be able to set up at least basic monitoring
• Familiar with building and deploying web applications using Python web frameworks

Responsibilities

• Own our existing fraud detection models
• Evaluate and integrate new data sources for our algorithms, aligning with Data Engineering and Analytical Engineers' best practices for dbt
• Automate the training and deployment of updated models, ensuring the output is tested, automated, scalable and documented and checks are in place to identify drift
• Help build experiments to evaluate new models, third-party data sources and tooling
• Translate commercial requirements into technical solutions, converting real-world problems into solvable data science projects, resulting in insights that further the strategy and enable visibility into key results
• Improving existing models through greater scrutiny of the methodology and improving the input data
• Develop strategies and tools to help less technical individuals understand and use the models and results

Preferred Qualifications

• You have experience with graph databases
• Have experience working with cloud-based services, especially AWS(e.g. Sagemaker, ECS, EMR)
• Have experience with experimentation design and evaluation
• Demonstrate tenacity and a willingness to go the distance to get something done. You don't mind doing things manually but automate at every opportunity
• Are inquisitive, intellectually curious and can make sense of complex systems or information
• Can work in a structured approach towards goals and pay attention to detail
• Can easily communicate with non-technical folks and translate their feedback into code
• Are comfortable defaulting to over-communication and overreaching when it comes to coordination
• Adjust quickly to changing priorities and conditions and cope effectively with complexity and change

Benefits

• Unlimited Annual Leave
• Private Medical Cover
• Retirement
• Life Assurance
• Parental Leave
• Remote-first