Hiring Now: IBM Artificial Intelligence Jobs 2023

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Last Updated on August 10, 2023 by GeeksGod

Join IBM as an AI Engineer: Your Next Career Move

IBM Artificial Intelligence Jobs 2023: Are you ready to step into the world of cutting-edge AI engineering?

At IBM, we’re not just selling technology – we’re co-creating solutions to tackle complex business challenges in real-time. Our Client Engineering teams are at the forefront of this revolution, and as an AI Engineer, you’ll play a vital role in driving the development and deployment of AI systems using our innovative watsonx platform.

Unleash Your Potential: Join the AI Engineering Journey

As an AI Engineer within our Client Engineering team, you won’t just follow a job description – you’ll embrace a mindset that thrives on innovation and problem-solving. You’ll dive into the world of AI value co-creation with clients, leveraging the watsonx platform to build 4-to-6-week pilots that showcase the potential of AI solutions.

Your Role in Transforming Business Dynamics

Your role will encompass:

  • Proof of Concept Development: Collaborate with development teams to create Proof of Concepts (POCs) that validate and highlight the effectiveness of proposed AI solutions. Ensure POCs align with customer expectations and requirements.
  • Documentation and Knowledge Sharing: Document solution architectures, design decisions, and implementation details. Contribute to knowledge sharing by creating technical documentation, white papers, and best practice guides.
  • Stay Ahead of Trends: Stay updated with the latest AI trends, foundation models, and large language models. Evaluate emerging technologies and frameworks to guide solution design.

Your Journey with IBM: Key Qualifications for IBM Artificial Intelligence Jobs 2023

To embark on this journey, you should have:

  • Education: A Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
  • Technical Skills: Proficiency in Python, AI frameworks like TensorFlow, PyTorch, Keras or Hugging Face, and libraries such as SciKit Learn, Pandas, Matplotlib. Familiarity with cloud platforms (Kubernetes, AWS, Azure, GCP) is a plus.
  • Soft Skills: Excellent communication and interpersonal skills, commitment to continuous learning, and a growth mindset.

Take Your Career to New Heights: Preferred Qualifications

Additionally, experience in designing and delivering AI solutions, especially in areas like foundation models, large language models, open source technologies, NLP, and text analytics, would be highly advantageous.

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Why Choose IBM? Your Journey Awaits

At IBM, your journey is guided by innovation, collaboration, and career growth. Join our supportive team and contribute to creating user-centric pilots that lead clients to invest in IBM’s people, products, and services. Our environment fosters continuous development, making it possible for you to shape your career trajectory.

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IBM Artificial Intelligence Jobs 2023
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