Machine Learning Engineer
- Published on
About the Role
I am working with an amazing start-up specializing in 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.
About the Candidate (Expectations and Nice to Have Skills)
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 and Kubernetes.
- Familiarity with the AWS cloud platform.
About the Company
Our organization is a cutting-edge start-up ranking high in the consumer fraud risk intelligence sector. We value innovation and teamwork, and strive to create a supportive work environment for our employees.
Company Culture and Benefits
We foster a culture of collaboration, inclusivity, and continuous improvement. Employees can expect a range of benefits aimed at ensuring a healthy work-life balance, including flexible working hours and opportunities for professional development.