IBM AI Engineer - watsonx 

Singapore, Singapore 

916912493

In this role, you’ll partner with technical leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation.

Your Role and Responsibilities

• Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
• Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders.
• Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
• Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
• Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.

Required Technical and Professional Expertise

• Strong knowledge of Python
• Extensive knowledge in machine learning algorithms and deep learning frameworks like TensorFlow, PyTorch, Keras, etc.
• Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc.
• Strong understanding of Foundation Models
• Understanding of Natural Language Processing (NLP)
• Proficiency with cloud technologies, particularly Kubernetes and Cloud Platforms like AWS, Google Cloud or Microsoft Azure.
• Capability to create and evaluate AI solutions
• Excellent command of the English language

Preferred Technical and Professional Expertise

• 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.