Tuesday, June 25, 2024
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IBM Recruitment | AI Engineer

IBM OFF Campus Drive 2023 Invites Students From Various Disciplines to apply for the Position of AI Engineer in Bangalore, India. Below you will find more details about what you need to know if you are Interested and Eligible

IBM Recruitment Details :-

Company Name:IBM
Post Name:AI Engineer
Salary:INR 5-10 LPA (Expected)
Degree: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field
Batch:2020/2021/2022/2023/2024
Experience:Fresher
Job Location:Bangalore, India

Job Description & Responsibilities:-

  • 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.

Eligibility Criteria:-

  • Education: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.

Preferred Skill Set:-

  • 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.
  • 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.

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