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IBM I Hiring For AI Engineer Intern

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IBM Job

About Company

IBM (International Business Machines Corporation) is a multinational technology company headquartered in Armonk, N.Y. It was founded in 1911 as the Computing-Tabulating-Recording Company (CTR) and was later renamed to IBM in 1924. IBM is one of the world’s largest IT companies, with operations in over 170 countries.

IBM is known for its hardware and software products, including computers, servers, storage systems and networking equipment. It also provides consulting, technology and business services, such as cloud computing, data analytics and artificial intelligence (AI). IBM’s research and development efforts have contributed to numerous technological innovations, including the development of the first programmable computer, the first hard drive and the first computer virus.

IBM AI Engineer Intern Recruitment Details

Company IBM
Post AI Engineer Intern
Degree Bachelor’s/Master’s Degree
Branch CS/IT/AI/DS
Batch 2019/2020/2021/2022/2023 Batch
CTC Rs 5 LPA (Expected)
Location Bangalore

Job Description

Introduction

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.

Your Role and Responsibilities.

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.

Your 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.

Who Can Apply

Required Technical and Professional Expertise

  • 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.

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.
  • Experience in natural language processing (NLP) and text analytics is highly desirable.
  • Understanding of machine learning and deep learning algorithms.

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Placement Materials

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Apptitude Study Material :- Coming Soon

Selection Process

Round 1

In first round there will Aptitude Round where question related to check capabilities of the candidate through variety of questions like

  • Verbal reasoning questions. …
  • Verbal comprehension questions. …
  • English language questions. …
  • Questions testing abstract reasoning.

Round 2

The second round is generally a Technical Round in which all the technical related question were asked to candidate according to job role. In this generally the interviewer checks candidate technical ability the depth and breadth of candidaate knowledge

Round 3

Round 3 is a HR round in some cases TR and HR round are occur concurrently. This round is conducted by Human Resource Professional who ensures that you are the right candidate for the role


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