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Require for the Machine Learning Engineer

3.00 to 5.00 Years   Bangalore   01 Aug, 2022
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaEngineering Design / Construction
EmploymentTypeFull-time

Job Description

    The ML Engineer in Bangalore will be part of a globally distributed team, with data science and engineering partners in New York and EMEA. He/she will be part of a team of engineers that productionize robust and scalable ML models, and enable the services to be deployed and integrated into existing business workflow. He/she will also build common ML capabilities used across Corporate based on those models. These capabilities will be delivered in an agile way, on internal open source code base, in a test driven manner. This is an exciting opportunity to work on cutting-edge solutions and have a profound influence on the business processes of a leading global bank. Responsibilities
    • Build common ML capabilities used across Corporate based on machine learning models
    • Participate in development of one or more of:
      • Next-generation big data based machine learning frameworks and back-end services
      • Front-end web applications and back-end services that integrate with other products.
      • High-performance processing and analytics applications using Spark
      • Robust analytic data pipelines
    • Design/architect state-of-the-art data pipelines on-prem, cloud and hybrid.
    • Automate and streamline existing processes, procedures, and toolsets
    • Innovate new ways of managing, transforming and validating data
    • Ensure code paths are unit tested, defect free and integration tested
    Qualifications/ Technical skills
    • BA/BS degree or equivalent experience in Computer Science, Information Technology or related disciplines
    • 3 - 12 years of exceptional hands-on knowledge of robust software design and development
    • Strong Python programming skills and Web Services (spring boot)
    • Experience in Big Data technologies and utilities (Hadoop, Spark SQL, Hive, Impala, Pig, Kafka)
    • Experience in distributed computing and micro services (Docker, Kubernetes)
    • Exposure to or interest in ML
    • Experience in designing and implementing scalable solutions in the analytics space
    • Experience in building reliable and auditable CICD deployment pipeline using Jenkins
    • Experience working on cloud Platforms (AWS/Azure)
    • Ability to architectural design /contribute to the same
    • Exposure working with data and variety of databases
    • Exposure/competence with Agile Development approach
    • Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
    • Financial Services background or experience preferred.
    ,

Keyskills :
big dataopen sourceweb servicesdata sciencesoftware designmachine learningweb applicationsagile developmentarchitectural designinformation technologysqlpighivesparkcloudagilepython

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