
Data Scientist
7 days ago
As a Machine Learning Engineer at our organization, you will play a key role in developing and deploying AI-powered solutions using Large Language Models (LLMs) and Natural Language Processing (NLP).
About the Job
- You will be part of a team that is pushing the boundaries of AI and machine learning to create innovative solutions.
- Collaboration is key, and you will work closely with cross-functional teams to understand requirements and deliver impactful solutions.
- The ideal candidate will have a strong understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- At least 2 years of experience in ML model development and deployment.
- Experience working with Large Language Models (LLMs) and NLP techniques for developing AI-powered applications.
- Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with data preprocessing, feature engineering, and model optimization.
- Strong understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
- Experience with SQL and NoSQL databases, as well as cloud platforms (AWS, GCP, Azure).
- Ability to integrate ML models into production and optimize workflows for efficiency.
- Strong analytical, problem-solving, and collaboration skills.
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