Title – ML Engineer
Location: London UK
Work Mode : Hybrid (Weekly twice)
Job Description:
*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)
*SageMaker MLOps / SageMaker 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.
Qualifications:
- 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.