Job Type : Permanent
Number Of Applications : 12
Job Posted On : 26/01/2022
Job Posted On : 26/01/2022
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
Test Triangle is an emerging IT service provider specializing in application testing, DevOps, RPA, Custom software development, mobile app development, Atlassian consultancy, niche IT staff augmentation and training in advanced technologies. Possessing strong experience in different industry verticals such as Banking & Finance, Healthcare, Retail, IT & Education, Test Triangle has developed a unique approach to provide better value to the clients.