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 a 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 Pilot.
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.
Minimum Requirements:
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.
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.
Fluent in Catalan language.
IBM 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.
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.
Wonder if IBM is the one for you? In 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.
Are you ready to be an IBMer?
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