Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
Machine Learning:
Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
Deep Learning:
Experience with deep learning frameworks and architectures (e.g., CNNs, RNNs, Transformers).
Large Language Models (LLMs):
Experience with LLM architectures and APIs (e.g., GPT, BERT, etc.).
Demonstrated ability to fine-tune, prompt engineer, and apply LLMs to specific tasks.
Understanding of the strengths and limitations of current LLMs.
Experience with experimenting with LLMs.
Data Science:
Solid foundation in data analysis, data visualization, and statistical modeling.
Database Knowledge:
Experience with SQL and NoSQL databases.
Cloud Platforms:
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services.
Version Control:
Proficiency with Git and GitHub.
Problem-Solving:
Excellent analytical and problem-solving skills.
Job Type: Full-time
Pay: ?1,000,000.00 - ?2,200,000.00 per year
Application Question(s):
How many years of years of experience do you have as a python developer?
a)4 years
b)More than 5 years
Can you start immediately for this role?
a)Yes
b)No
How many years of experience do you have working as AI/ML Engineer?
a)3 years
b)More than 3 years
Work Location: Remote
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