המקום בו המומחים והחברות הטובות ביותר נפגשים
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 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.
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.
• Fluent in Catalan language
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