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AI Engineer
1 week ago
Qualifications:
- Strong understanding of data structures, algorithms, and software engineering principles.
- Proven experience in training, configuring, and implementing AI and machine learning models.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with Classical Machine Learning and/or Natural Language Processing (NLP) and/or Computer Vision technologies.
- Knowledge of reinforcement learning and deep learning techniques.
- Strong understanding of Generative AI models and their applications
- Experience with working on projects based on open-source LLM models
- Experience in Fine-tuning open-source LLMs
- Ability to analyze and interpret data
- Familiarity with big data technologies such as Hadoop and Spark.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with version control systems such as Git.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication skills and the ability to work collaboratively in a team.
- Attention to detail and ability to meet deadlines
Requirements:
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Data Science, Statistics, Artificial Intelligence (or related area).
- Hands-on experience on industrial projects (in addition to internships, if any) of 2-5 Years in AI, Data Science, and machine learning.
- Experience with developing complex software systems and data pipelines.
- Strong knowledge of Python.
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