Artificial Intelligence Engineer – Client Engineering

hace 4 semanas

Madrid, España Ibm A tiempo completo

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 an AI Engineer 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 an AI Engineer 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 An AI Engineer in Client Engineering is a specialist in Foundation Models and building AI systems. You'll leverage the watsonx 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.


Required Technical and Professional Expertise Excellent command of the English and Spanish languages, both verbal and written.Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Preferred Technical and Professional Expertise Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
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