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IBM has been expanding its footprint in India – and has a presence in over 200 cities and towns across the country – either directly or through its strong business partner network. IBM India has clearly established itself as one of the leaders in the Indian Information Technology (IT) Industry – and continues to transform itself to align with global markets and geographies to grow this leadership position.
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Widely recognised as an employer of choice, IBM holds numerous awards for its industry-leading employment practices and policies. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM India from other companies in the industry.
IBM Internship Drive 2024 Details :
IBM Internship Drive 2024 Eligibility Criteria :
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Job Descriptions :
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.
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.
How to apply for IBM Internship Drive 2024 ?
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