Machine Learning Engineer

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.