IBM Hiring Drive 2024 For Data Scientist | Location Bangalore

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IBM Hiring Drive 2024: IBM Hiring Drive 2024 for its Data Scientist. IBM Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: IBM 

Role: Data Scientist

Location: Bangalore

Experience: 2 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: 12.0 LPA (Expected)

IBM Hiring Drive 2024

Job Description:

  • As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.
  • Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options.
  • Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

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  • At least 2 years of experience in developing AI/ML solutions in Python.
  • Should have strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Should be able to use libraries such as SciKit Learn, Pandas, Matplotlib, etc.
  • Should have a good knowledge of relational databases and SQL. Should be able to use NoSQL Databases in managing data for analysis.
  • Should be able to follow the Agile methodology of development along with the knowledge of tools like Github.irements:
  • Should have excellent interpersonal and communication skills.
  • Should be able to engage with stakeholders and team for analysis and implementation.
  • Should be able to learn continuously and stay updated with advancements in the field of AI.
  • Experience in setting up web services using Flask, Django, FastAPI, etc.
  • Experience in designing and delivering AI solutions, with a focus on foundation models, large language models.
  • Exposure to open source AI libraries.
  • Experience in full AI project lifecycle, from prototyping to deployment in production environments.
  • Familiarity with cloud platforms (e.g. IBM Cloud, AWS, Azure, GCP) and related services.


  • 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.
  • Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback.
  • Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
  • 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.

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