Description
You will develop and implement machine learning models and generative AI solutions.
Responsibilities
- Build and optimize generative AI applications using LLMs, VLMs, and prompt engineering.
- Implement advanced reasoning techniques such as Tree of Thought to enhance model performance.
- Develop and maintain APIs to serve machine learning models.
- Execute data preprocessing, feature engineering, and management of large datasets.
- Apply supervised, unsupervised, and reinforcement learning algorithms to solve complex problems.
Required Skills
- 5+ years of professional experience in machine learning or data science.
- Proficiency in Python or similar programming languages.
- Hands-on experience with PyTorch or TensorFlow.
- Experience with Scikit-learn and other ML libraries.
- Expertise in vector databases and generative AI workflows.
- Proficiency in data manipulation using Pandas and NumPy.
- Experience building APIs with FastAPI or Django.
- Strong understanding of machine learning algorithms.