Online applications are invited for the AI Engineer Internship at IBM, Bangalore. Check the eligibility and other details below!
About IBM
The International Business Machines Corporation (doing business as IBM), nicknamed Big Blue, is an American multinational technology corporation headquartered in Armonk, New York and is present in over 175 countries. It specializes in computer hardware, middleware, and software, and provides hosting and consulting services in areas ranging from mainframe computers to nanotechnology.
Job Description
- At IBM, we’re revolutionizing our approach to technology sales. Our watsonx Client Engineering teams are champions of co-creating solutions in real-time to solve complex business challenges.
- As an AI Engineer within our watsonx Client Engineering team, you’ll harness your unique skills and perspectives to engage in the development and deployment of watsonx offerings using our watsonx platform, creating 4-to-6-week pilots for clients, and contributing to IBM’s story of growth and innovation.
- In this role, you’ll partner with technical leads, leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation.
- At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you’ll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM’s people, products, and services.
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 Technical and Professional Expertise
- Education: Bachelor’s, Master’s in Computer Science, Artificial Intelligence, Data Science or a related field for the AI Engineer Internship at IBM.
- 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.
Preferred Technical and Professional Expertise
- Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies can help with the AI Engineer Internship at IBM.
- Experience in natural language processing (NLP) and text analytics is highly desirable.
- Understanding of machine learning and deep learning algorithms.
How to Apply?
Interested candidates for the AI Engineer Internship at IBM can directly apply through this link.
Stipend
- Monthly in-hand salary: ₹40,360 – ₹41,520
- Note: Stipend information is taken from here.
Why IBM?
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’d never thought possible.
Location
Bangalore, Karnataka
