Generative AI Machine Learning Scientist
Job Description

Job description:

  • Design and implement generative AI solutions to solve complex problems in various domains.
  • Employ deep learning and machine learning techniques for training and fine-tuning models.
  • Utilize Natural Language Processing (NLP) to enhance the capabilities of our AI models.
  • Develop infrastructure for deploying generative AI solutions, ensuring scalability and reliability.
  • Collaborate closely with the data science team to optimize and improve the performance of existing models.
  • Communicate complex machine learning concepts to stakeholders in a clear, concise manner.

Requirements:

  • Bachelor's degree in Computer Science, Machine Learning, AI, or a related field. Master's degree would be an added advantage.
  • At least 3 years of experience working on machine learning projects.
  • Strong understanding of different machine learning algorithms and statistical concepts.
  • Strong experience with Natural Language Processing (NLP) and Deep Learning.
  • Proficient in Python and familiar with AI/ML libraries such as TensorFlow, PyTorch, or Keras. Experience with Hugging Face's Transformers library is a significant plus.
  • Familiarity with cloud platforms, particularly Amazon Web Services (AWS), for model training, deployment, and scalability.
  • Familiarity with modern software development practices, including version control (like Git), continuous integration, and Agile methodologies.
  • Excellent problem-solving abilities and attention to detail.
  • Good communication skills, both verbal and written, to explain AI concepts to non-technical team members.
More Info
Job Type

Full Time,Permanent

Industry

Software

Roles

Generative AI Machine Learning Scientist

Skills
Education

BCS

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