Machine Learning Engineer

Overview

Title – ML Engineer

Location: London UK

Work Mode : Hybrid (Weekly twice)

• Redis cluster setup
• Kafka/Flink streaming pipelines
• S3 Data pipeline
• Real time micro batches implementation (5 minutes, hourly, daily)
• Mongo/Atlas as alternative implementation (we might land with S3 instead)
• Sage Maker MLOps / Sage Maker Training / SM Model Deployment
• Pytorch
• Design machine learning systems:
  You will work on building and implementing machine learning models and deploying these models into production.
• Data analysis:
  You will be responsible for improving data quality through data cleaning, validation, and transformation so that it can be used effectively by the machine learning models.
• Educate the team:
  As our machine learning expert, you will also have the opportunity to teach others about machine learning principles and help them understand how these principles can be applied to our products.
• Stay updated:
  You should stay abreast of latest trends and developments in machine learning, ensuring we continue to innovate.

• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.
• 8+ years of practical experience with machine learning, algorithm design, data modeling, and software development.
• Hands-on experience in machine learning, predictive modeling and analysis, and cross-functional collaboration.
• Proficient in Python, R, Java or C++ programming languages.
• Experience with Hadoop, Hive, Spark, SQL or other big data technologies.
• Excellent communication skills, as this role will collaborate with both technical and non-technical colleagues.