Machine Learning Engineer

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 and Kubernetes.
• Familiarity with AWS cloud platform.

The Perfect Candidate Also Has :

• Programming Languages:
• Experience with Node.js, JavaScript (JS), and TypeScript (TS).
• Statistical Knowledge:
• Solid understanding of statistical concepts and methodologies.
• Data Manipulation & Analysis:
• Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.