Machine Learning Engineer

Job Description

Responsibilities will include: 
-Development of highly scalable code for multiple applications 
-Maintaining and creation of data pipelines  
-Building real-time machine learning applications for customisation purposes  
 
Required Skillset: 
-Proven background in Machine Learning environment  
-Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture. 
-Advanced proficiency with Python framework, Java and Scala 
-Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture 
-Good understanding of mathematics, statistics, and commonly used data science algorithms. 
-Excellent investigative and problem-solving abilities 
-Great communication and collaboration skills 
-Ability to effectively communicate technical concepts & results to technical and business audiences in a comprehensive manner 
-Agile Mindset and focused with full stack ownership capability 
-Hands on experience in AWS services such as S3, Glue, Athena, Lambda, EMR, Kinesis, SQS, SageMaker, KMS & Secrets Manager is a plus 
-Hands on in containerisation, streaming and messaging technologies are a plus. 
-Experience in implementing predictive underwriting, fraud analytics, personalisation or leads routing use cases are a plus 
-Hands on knowledge of No SQL databases such as Cassandra, DynamoDB, Elasticsearch is desirable  
-Candidates should hold relevant qualifications in an IT related field