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Data Scientist-Artificial Intelligence @ IBM

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 Data Scientist-Artificial Intelligence

Job Description


  • ExperienceProven 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.
  • Strong track record in scientific publications or open-source communities
  • Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
    • Required education
    Bachelor's Degree Preferred education
    Master's Degree Required technical and professional expertise
  • 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.
  • Experience and working knowledge in COBOL & JAVA would be preferred
  • o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * 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 mindsetDemonstrate a growth mindset to understand clients' business processes and challenges.
  • Experience in python and pyspark will be added advantage
    • Preferred technical and professional experience
  • ExperienceProven 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.
  • Strong track record in scientific publications or open-source communities
  • Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Full Stack Data Scientist
    Employement Type: Full time

    Contact Details:

    Company: IBM
    Location(s): Hyderabad

    + View Contact

    Keyskills:   python machine learning deep learning tensorflow keras kubernetes natural language processing scikit-learn pyspark microsoft azure cloud platforms artificial intelligence text analytics pandas java code generation cobol gcp matplotlib pytorch aws

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