IBM, a global leader in technology and innovation, is offering an exciting internship opportunity for aspiring AI engineers in Bangalore. As an AI Engineer Intern at IBM, candidates are required to have a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. The ideal candidate should possess excellent interpersonal and communication skills, which are essential for collaborating effectively within the team and communicating complex technical concepts. This internship provides a valuable platform for students and recent graduates to gain hands-on experience in AI engineering while working alongside industry experts.
Company Name: IBM
Job Role: AI Engineer Intern
Job Type: Internship
Education Required: Bachelor’s, Master’s in Computer Science, Artificial Intelligence, Data Science or a related field.
Skills Required: Excellent interpersonal and communication skills
Job Location: Bangalore
Role and Responsibilities:
- As an AI Engineer at IBM is not just a job title – it’s a mindset. Create Pilot validate and showcase the feasibility and effectiveness of the proposed watsonx offerings. You’ll leverage core watsonx offerings products under its foundational platform and large language models focusing on technology patterns to enhance repeatability and delight clients.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in watsonx, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
- Business Acumen: Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions.
Required Skills and Qualification:
- Education: Bachelor’s, Master’s in Computer Science, Artificial Intelligence, Data Science or a related field.
- Technical Skills: Strong programming skills, with proficiency in Python and knowledge 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.
