2024 IBM Technology Sales Internship Program - AI Engineer

* 근무기간
– 2024년 7월 1일 ~ 2024년 12월 27일까지 (6개월)
(채용비연계형 인턴으로 정규직 전환과 관련없는 ‘체험형 인턴십’ 입니다.)

* 전형절차
– 1차 서류 심사
– 2차 실무/임원 면접
※ 이력서 제출시 반드시 영문이력서 제출 필요
※ 서류전형 합격자에 한하여 개별적으로 면접 일정 안내
※ 내부 사정에 의해 전형의 순서나 일정이 변경될 수 있습니다.

* 모집기간
– 2024년 5월 13일까지

■ 병역 및 기타사항
– 군필자 또는 면제자에 한하며 해외여행에 결격사유가 없는 경우 지원 가능합니다.
– 인턴십은 Full-Time 근무 가능한 자에 한해 지원 가능합니다.
– 입사지원서 및 채용 전형 과정에서 허위 사실이 발각될 경우는 입사가 취소될 수 있습니다.

Your Role and Responsibilities
An AI Engineer at IBM is not just a job title – it’s a mindset. You’ll 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.

Day-to-Day Duties:

• 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.
• 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

• 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.