Data and Gen AI specialist

Introduction

Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business.

Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us.

Your Role And Responsibilities

We are looking for an AI Engineer to join our team and leverage the Watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and

your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.

Your Primary Responsibilities Will Include

• 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.

• Solution Implementation and Deployment: Oversee the implementation and deployment of AI solutions, working
  
  

closely with development teams to ensure adherence to best practices, quality standards, and performance

requirements. Provide technical guidance and support during the implementation phase.

• Solution Optimization and Performance: Continuously monitor and optimize the performance of AI solutions,
  
  

including foundation models and large language models. Identify opportunities to enhance efficiency, accuracy,

and speed through fine-tuning, algorithmic improvements, or infrastructure optimization.

• 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

implementation, migration and product support with a sense of urgency .

• Agile Planning and Execution: Creating and executing agile plans where you are responsible for installing and provisioning assets, testing, migrating to production, and day-two operations.
• Technical Solution Workshops: Conducting and participating in technical solution workshops.
• Building Effective Relationships: Developing successful relationships at all levels —from engineers to CxOs—with experience of navigating challenging debate to reach healthy resolutions.
• Self-Motivated Problem Solver: Demonstrating a natural bias towards self-motivation, curiosity, initiative in addition to navigating data and people to find answers and present solutions.
• Collaboration and Communication: Strong collaboration and communication skills as you work across the client, partner, and IBM team.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

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 and the application of technology for

the govenrance of data and models.

Strong programming skills: 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. IBM , Kubernetes, AWS, Azure, GCP) and related services is a plus.

Solutioning Experience: Solution architecture and design, translating business requirements into technical

specifications, developing scalable and robust AI solutions.

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.

AI-Related Education: Possess a Bachelor's in Computer Science, Artificial Intelligence, Data Science, or a related

field

Preferred Technical And Professional Experience

Comprehensive Familiarity with IBM's Offerings AI Strategy and offerings: Hands-on experience with any of IBM's

products and services (training across IBM's product suite will be provided)