Introduction
Technology sales at IBM is evolving its way of working to break beyond boundaries with innovative approaches. Preferring to 'show' vs. '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.
Development, Research and Sales for rapid client delivery and product innovation.
Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance your career through its upward trajectory. Our sales environment is fast-paced and supportive. 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. All-the-while ensuring your teams are compelling clients to continually invest in IBM's people, products, and services.
Your Role and Responsibilities
A Data Architect - Generative AI in Client Engineering is a specialist in Foundation Models and building AI systems. You'll leverage the Watson X platform with clients to co-create the value AI can bring to business. You will focus on Technology Patterns as our way to build the right skills and assets for repeatability to delight clients. AI Engineers work in high touch environment on all watsonx.ai opportunities.
We're passionate about success. If this role is right for you, then your achievements will mean that your career is flourishing, your team is succeeding, and our clients are thriving. 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.
Collaborating with the client to rapidly develop AI solutions using IBM watsonx Platform via a Proof of Experience (PoX)
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.
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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.
Knowledge of cloud technologies, specifically Kubernetes, and expertise in leveraging them for large-scale AI workloads.
Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful AI solutions.
Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes.
Strong communication skills and the ability to collaborate effectively within a local team.
5+ Years of relevant experience.
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. to enable clients and partnerss at the intersection of infrastructure.
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., Jenkins, GitHub) and container orchestration systems (i.e., Docker, Kubernetes,GitHub).
Client facing
Experience working in a customer-facing role (e.g., internal and/or external) with ability to build trusted advisor status and deep relationships to bring business value while demonstrating situational awareness and insightful listening.
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.
Track record of being part of highly collaborative teams to tackle important problems which produce high impact solutions
Knowledge of Large Language Models (LLM), Langchain and HuggingFace Model
About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. 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.
Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. 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. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
About IBMIBM's greatest invention is the IBMer. 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.
Location StatementMust have the ability to work in Canada without sponsorship.
For additional information about location requirements, please discuss with the recruiter following submission of your application.
Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. 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.#J-18808-Ljbffr
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