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    Job · 21318133

    BENGALURU · FULLTIME

    Python Gen AI Developer - Lead Cybersecurity Engineering

    Morgan Stanley

    Morgan Stanley

    Bengaluru · onsite · Posted 4d ago

    Sourced fromNaukri
    Undisclosed6–8 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Summary
    Were seeking someone to join our AI Security Enablement team as a Python Gen AI Developer in Cyber to implementation of cybersecurity controls to secure firms use of Artificial Intelligence and Generative AI technologies.
    In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
    This is Director position that develops and maintains software solutions that support business needs.


    Responsibilities
    • Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
    • The design, development, maintenance, and support of web-based applications and/or distributed applications
    • Translating high-level business requirements on multiple, complex requests into detailed functional, technical, and/or system specifications and designs.
    • Work with cross-functional team to ensure that all key technical requirements are identified, estimated, designed, implemented, and tested.
    • Testing and analysing software designs and solutions (including debugging and troubleshooting)


    Qualifications
    • At least 6 years relevant experience would generally be expected to find the skills required for this role.
    • Ability to effectively manage multiple functions or guide junior staff and initiatives.
    • 6-8 years of experience as an Application Developer with design and developing multi-tier Python applications
    • Understanding of machine learning concepts, model training, and evaluation
    • Familiarity with GenAI architectures (e.g. transformers, LLMs like GPT)
    • Experience with APIs, especially OpenAI, Azure Open AI and RESTful services.
    • Experience of using open-source frameworks like PyTorch, LangChain, etc.
    • Knowledge of secure coding, data privacy and adversarial attack vectors
    • Familiarity with deployment on Microsoft Azure
    • Experience with containerization (Docker and Kubernetes)
    • Ability to Query Relational Databases like DB2, Sybase and Cloud data sources like snowflake
    • SOAP REST Web Services with on XML/JSON based data
    • Experience with Development tools (Jupyter, VS Code, Maven/Gradle)
    • Experience with Git and DevOps tools
    • Experience with Jenkins, CI, Sonar
    • Experience in the development of service-oriented architecture applications
    • A strong understanding of Agile/Scrum and ability to deliver solutions using TDD, BDD
    • Excellent problem-solving skills
    • Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

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    Section · 02

    Skills

    DockerDB2AgileCyberapplication developerapisdata privacyBusiness Requirementsai securityCloud DatadebuggingcloudCyber SecurityCommunication SkillsArchitectureBddMicrosoft AzureArtificial Intelligence

    Section · Company

    About Morgan Stanley

    Morgan Stanley

    Morgan Stanley

    Financial Services

    16.0k+

    employees

    1931

    95 years old

    New York, New York

    United States (USA)

    About

    Morgan Stanley helps individuals, families, institutions, and governments raise, manage and distribute the capital they need to achieve their goals.

    Industries

    Financial Services

    Employee ratings

    2,050 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    2.8

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance357Work Culture349Salary281Senior Management203Job Security176

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