Technical Lead – AI/ML, Specialist

Vanguard

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World Danger and Safety (GR&S) at Vanguard allows enterprise technique, protects consumer and Vanguard pursuits (e.g., belongings and information), and stewards a powerful danger tradition. Our groups leverage enterprise-wide insights, deep experience, and trusted recommendation in order that throughout Vanguard leaders and crew drive sooner, stronger, risk-informed choices.

Inside GR&S, the Enterprise Safety and Fraud (ES&F) sub-division is answerable for the worldwide safety of Vanguard crew, property, information, and consumer belongings. We’re the trusted advisors that defend the delight of Vanguard with state-of-the-art safety and fraud capabilities.

We’re a world-class vacation spot of extremely engaged, passionate, and numerous expertise anticipated to constantly study and develop in an ever-changing safety panorama. Our crew are our biggest useful resource – by becoming a member of our group you’ll construct collaborative long-term relationships and luxuriate in a collection of advantages that features complete well being and wellness care, work-life steadiness, and an funding in your future at its core.

Are you enthusiastic about Analytics and AI/ML? Are you interested by defining architectural options leveraging cloud-based applied sciences and New Methods of Working? That is an thrilling alternative so that you can be a part of Enterprise Safety and Fraud journey at Vanguard in driving cyber safety and fraud outcomes for our purchasers.

Because the Technical Lead within the Vanguard Enterprise Safety and Fraud Workforce, specializing in GenAI Options, you can be on the forefront of devising and implementing cutting-edge generative AI, LLMOps, and MLOps methods to boost our safety and fraud detection capabilities. Your management and technical experience can be important in remodeling advanced enterprise wants into strong, progressive options that combine seamlessly into Vanguard’s operations, thereby elevating our safety posture and fraud prevention mechanisms.

Your position will contain main the imaginative and prescient, technique, and execution of latest GenAI merchandise, options, and providers, tailor-made particularly to fight safety threats and fraud. By leveraging your expertise in information science and experience in deploying hybrid massive language fashions (LLMs) and interactive AI capabilities on hybrid cloud infrastructures, you’ll drive the event of best-in-class safety options. Collaborating cross-functionally, you’ll design and ship these progressive options, guaranteeing that they not solely meet however exceed our operational necessities and buyer expectations. From the preliminary design to productization, your steering will make sure the incorporation of finest practices and state-of-the-art instruments, making our Enterprise Safety and Fraud Workforce a pacesetter within the business.

 Technical Lead – AI/ML Specialist:

  • Collaborates with inner stakeholders to collect and analyze safety and fraud detection necessities; assist to defines the architectural blueprint for Generative AI, LLMOps, and MLOps options to handle these challenges.
  • Leads the event and deployment technique for scalable and safe AI platforms, functions, and programs tailor-made for safety and fraud prevention throughout numerous cloud environments and computing platforms.
  • Oversees the creation and upkeep of technical and configuration documentation for a broad viewers, together with inner groups, companions, and clients, guaranteeing readability and accessibility of data associated to safety and fraud detection AI options.
  • Builds and maintains robust relationships with key stakeholders, turning into a trusted advisor whereas constantly enhancing information in AI, machine studying, safety, and fraud detection applied sciences.
  • Integrates and customizes superior machine studying algorithms and applied sciences, similar to anomaly detection fashions, to strengthen Vanguard’s safety and fraud detection capabilities. Makes use of statistical evaluation and machine studying strategies to determine and consider alternatives for enhancing safety measures and fraud prevention methods.
  • Designs and oversees A/B testing for statistical fashions and machine studying algorithms, guaranteeing the continual optimization and effectiveness of safety and fraud detection programs.
  • Conducts rigorous code evaluations and oversees the design of algorithms and fashions, performing experiments to validate the performance and efficiency of safety and fraud detection AI options.
  • Engages in particular initiatives centered on advancing Vanguard’s safety and fraud detection capabilities, exploring new applied sciences and methodologies within the subject of AI and machine studying.
  • Assumes further duties as wanted, contributing to the group’s success and the evolution of Vanguard’s safety and fraud prevention efforts.

What it takes:

  • Expertise with Generative AI
  • Expert in designing and refining conversational AI prompts to optimize efficiency, accuracy, and person engagement.
  • Skilled in iterative testing and evaluation of AI-generated content material to make sure alignment with mission targets and moral requirements.
  • 3+ years of expertise in constructing scalable, production-level Machine Studying programs, protecting facets from necessities evaluation, design, planning, implementation, testing, to deployment.
  • 5+ years of expertise in writing manufacturing software program in Python and deploying manufacturing workloads utilizing AWS cloud managed providers.
  • 2+ years of expertise with DevOps practices, containerization, and orchestration instruments, together with experience in CI/CD pipelines, Docker, and Kubernetes
  • 2+ years of expertise in writing information processing pipelines utilizing SQL, Spark, and Kafka
  • Proficient in Machine Studying Operations (MLOps) processes and related technical considerations.
  • Holds a grasp’s diploma.
  • AWS Licensed Options Architect and Machine Studying Engineer certifications

    Particular Components

    Sponsorship

    Vanguard just isn’t providing visa sponsorship for this place.

    About Vanguard

    We’re Vanguard. Collectively, we’re altering the way in which the world invests.

    For us, investing doesn’t simply finish in worth. It begins with values. As a result of while you make investments with braveness, while you make investments with readability, and while you make investments with care, you will get a lot extra in return. We make investments with objective – and that’s how we’ve turn out to be a world market chief. Right here, we develop by doing the suitable factor for the folks we serve. And so are you able to.

    We wish to make success accessible to everybody. That is our alternative. Let’s make it depend.

    Inclusion Assertion

    Vanguard’s continued dedication to range and inclusion is firmly rooted in our tradition. Each choice we make to finest serve our purchasers, crew (internally staff are known as crew), and communities is guided by one easy assertion: “Do the suitable factor.”

    We imagine {that a} essential side of doing the suitable factor requires constructing numerous, inclusive, and extremely efficient groups of people who’re as distinctive because the purchasers they serve. We empower our crew to contribute their distinct strengths to attaining Vanguard’s core objective by means of our values.

    When all crew members really feel valued and included, our skill to collaborate and innovate is amplified, and we’re united in delivering on Vanguard’s core objective.

    Our core objective: To take a stand for all buyers, to deal with them pretty, and to offer them one of the best probability for funding success.

    How We Work

    Vanguard has applied a hybrid working mannequin for almost all of our crew members, designed to seize the advantages of enhanced flexibility whereas enabling in-person studying, collaboration, and connection. We imagine our mission-driven and extremely collaborative tradition is a essential enabler to help long-term consumer outcomes and enrich the worker expertise.

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