Job Description
Responsibilities:
Generative AI Modeling:
- Develop and implement generative models for various applications, such as image synthesis, text generation, or anomaly detection.
- Stay updated on the latest advancements in Generative AI and contribute to the continuous improvement of our modeling capabilities.
Data Analysis and Preprocessing:
- Analyze large and complex datasets to extract meaningful insights.
- Collaborate with data engineering teams to preprocess and prepare data for generative modeling.
Algorithm Development:
- Design and implement algorithms to solve specific business problems using Generative AI techniques.
- Optimize and fine-tune models to ensure high-quality outputs.
Collaboration and Communication:
- Work closely with cross-functional teams, including data engineers, data analysts, and business stakeholders.
- Communicate complex technical concepts to non-technical audiences effectively.
Experimentation and Evaluation:
- Conduct experiments to test and evaluate the performance of generative models.
- Iterate on models based on feedback and evaluation metrics.
Documentation and Reporting:
- Document methodologies, experiments, and results.
- Prepare and deliver reports summarizing findings and recommendations.
Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
- Strong foundation in machine learning and statistics.
- Exposure to Generative AI through coursework, projects, or research.
- Programming skills in languages such as Python or R.
- Familiarity with popular deep learning frameworks (TensorFlow, PyTorch).
- Ability to work independently and collaboratively in a team environment.
- Excellent problem-solving and analytical skills.