Artificial Intelligence Consultant Internship (May 2024)

About IBM

IBM Consulting is IBM’s consulting and global professional services business, with market-leading capabilities in business and technology transformation. With deep expertise in many industries, it offers strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Its people are focused on accelerating the client’s businesses through the power of collaboration. They believe in the power of technology responsibly used to help people, partners, and the planet.

Your role

In this role, you will be responsible for the following tasks:

• Apply generative AI machine learning and big data to build, manage and automate applications and pipelines for analytics & HR platform.
• Prototype ideas rapidly, drive architecture discussions, and propose solutions to system and product changes.
• Prompt engineering LLMs like GPTs, LLaMA, Claude for various NLP tasks for zero-shot/few-shot inference.
• Select/collect appropriate annotated data for training/fine-tuning ML models.
• Use effective text representations to transform natural language into useful features.
• Develop & train ML/DL/NLP models according to requirements.
• Extend ML libraries and frameworks to apply in NLP tasks.
• Test and deploy trained models/systems on cloud services as required
• Work with different stakeholders to ensure that the bank’s production release process is adhered to.

Training & development

Once you join IBM, you'll have access to a comprehensive program that will let you know the skills you need to take the next step in your career, including mentoring, courses, stretch opportunities, certifications, and much more. On top of that, IBM also has online learning academies and classes for almost anything that you could think of. In fact, IBMers are encouraged to do 40 hours of learning every year.

Benefits

IBM offers a competitive benefits program, designed to reinforce you and your family's health, prosperity, safety, connectivity, and support.

• Flexible work schedule.
• Performance bonus.
• Professional Development.
• Job training & conferences.

Career progression

IBMers get to experience truly diverse and far-reaching careers. The breakneck speed of change in the tech industry is staggering and they keep up by continually investing in skills. IBMers have regular career conversations and have access to vast resources that support career growth and mobility.

Work-life balance

At IBM, they are committed to flexible workplace policies and comprehensive work-life programs to help you achieve balance while fostering success. The ability to work remotely will depend on the job you'll be doing and the makeup of your team. Some teams are globally distributed, but others need to work on-site due to the nature of the project.

Company culture

IBM's culture is what drives them. It recognizes the unique value and skills every individual brings to the workplace, therefore its culture is one of thinking: it's expected and it's definitely rewarded. They differentiate themselves by responding YES when asked, "Will you help me with this?" because they're a friendly, collaborative bunch, made up of individuals who love to try new things and work with new people. With that, its inclusive teams help them make the greatest impact on their clients, colleagues, and the world.

About you

To apply for this role, you must be:

• Bachelor’s or master’s degree in computer science.
• Good knowledge and fundamentals in NLP, Machine Learning, and Deep Learning.
• Knowledge of Deep Learning model optimization, transfer learning, and prompt engineering with LLMs like GPT3, GPT3.5, GPT4, and Claude.
• Experience with state-of-the-art NLP models such as GPT, BERT, T5, and transformer-based models.
• Good skills in Python (preferably scikit-learn, FastAPI & Strawberry) and willingness to learn other languages as required by the project.
• Good knowledge on SQL, joining and worked on database like MySQL or Oracle or any other related database.
• Ability to work as a team player and independently.
• Good communication and project management skills.
• Strong interests in learning about recent developments in Gen AI and machine learning through own initiatives.

Sources

The following sources were used in researching this page:

• ibm.com/careers
• youtube.com/ibm-singapore