Machine Learning Engineer building AI-driven solutions for merchant segmentation and churn prediction. Collaborate with a team to drive complex models from concept to production.
Responsibilities
Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.
Design AI solution architectures that meet complex business goals and drive innovation.
Research, test, and select the best tools and technologies as well as AI solutions to meet business requirements.
Understand clients' and internal stakeholders' needs and translate business problems into data science problems.
Oversee the implementation of data pipelines and workflows using Airflow and dbt within Snowflake/BigQuery.
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders.
Prioritize and control tasks within an Agile/Scrum framework, ensuring timely delivery.
Requirements
Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM usage).
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
Proven expertise in deploying solutions in cloud environments (AWS - Fargate, EC2).
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