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    Data architect - Toronto, ON, Canada - IBM Computing

    IBM Computing
    IBM Computing Toronto, ON, Canada

    1 week ago

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    Description
    Technology sales at IBM is evolving its way of working to break beyond boundaries with innovative approaches. tell', Client Engineering co-creates with prospective customers, in real-time, on solutions to their hardest business challenges.

    As a Data Scientist - Generative AI within a Client Engineering squad, you'll contribute to the co-creation of Proofs of Value (PoV) and Minimal Viable Product that demonstrate business value, leading to client investment in AI strategic solutions using Foundation Models.

    You will engage in developing and deploying AI systems to solve real-world business problems in a wide array of industries around the globe using IBM watsonx platform.

    AI Engineers cover all stages of the AI solution lifecycle from Data Engineering to Train, Validate, Tune, Deploy, AI Operations, and AI Governance to create a trusted end-to-end AI solution.

    As a Data Scientist - Generative AI within a Client Engineering squad, you'll partner with Technical Leaders across IBM sales teams and specialists to drive these experiential client engagements.

    You will form a sales cornerstone in partnership with.

    Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance your career through its upward trajectory.

    Always connected to a wider team, you'll be surrounded by other leaders and colleagues who are always willing to help and be helped - as you steer the creation of MVPs and proofs of concept (PoC) that obsess over user-centricity and business impact.

    A Data Architect - Generative AI in Client Engineering is a specialist in Foundation Models and building AI systems.

    You will focus on Technology Patterns as our way to build the right skills and assets for repeatability to delight clients.

    To help ensure this win-win outcome, a 'day-in-the life' of this opportunity may include, but not be limited to:

    Fine Tuning pre-trained Foundation Models and assisting different stakeholders with analysis and implementation.
    Apply prompt-engineering techniques to specific use cases and types of models.
    Applying Foundation Models to propose and validate hypotheses for business queries

    Utilizing the latest IBM AI technical strategies and sales plays to unlock client opportunities, applying skills in AI development, model building, Fine-Tuning and API integration.

    Displaying a growth mindset and genuine curiosity to grasp clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities.

    Required Technical and Professional Expertise
    Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples.
    Strong communication skills and the ability to collaborate effectively within a local team.
    Excellent command of the English language, both verbal and written.
    Technical experience and knowledge in foundational security, foundational AI, architecture design:
    Deep domain expertise in deployments and migrations to the cloud, Open-source database deployments and migrations, Data Governance, Datawarehousing etc.

    Expertise in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.

    experience in building repeatable technical assets such as scripts, templates, reference architectures, etc. Experience training and fine tuning models in large scale environments
    Experience with distributed training and optimizing performance versus costs.

    experience in DevOps and CI/CD tool chains in the context of MLOps and LLMOp (i.e., Experience creating Data & Analytics Proof of Concepts (PoC), Minimum Viable Products (MVPs) for customers that lead to production deployments.

    Preferred Technical and Professional Expertise

    Strong contribution record with either publications in top peer-reviewed scientific conferences and journals or strong leadership track-record in opens source communities, with a particular focus on foundation models, or large scale machine learning models.

    Knowledge of Large Language Models (LLM), Langchain and HuggingFace Model

    The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally.

    These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation.

    By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities.

    Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply.

    IBM is also expanding its reach to new and existing clients through digital marketplaces.

    They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers.

    We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

    Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

    At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.

    Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

    IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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