Job Description The Role :
I am working with an amazing start-up specialising in the consumer fraud risk intelligence who are seeking a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities will include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments
The Ideal Candidate
Education & Experience:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
7+ years of professional experience in areas such as fraud prevention or credit scoring.
Machine Learning Expertise:
Strong understanding of machine learning algorithms and their practical applications.
Experience with frameworks like TensorFlow, PyTorch, and scikit-learn.
Data Engineering:
Proficiency in developing and maintaining real-time data pipelines.
Experience with ETL processes, Python, and SQL.
Familiarity with big data technologies like Apache Hadoop and Apache Spark.
MLOps & Deployment:
Experience deploying and maintaining ML inference pipelines.
Proficiency with Docker ...