Key Responsibilities:- Lead the development and implementation of AI products, ensuring they meet project requirements and business goals.
- Help the team build infrastructure and deploy modern MLOps techniques to our customer sites.
- Rapidly prototype and iterate on machine learning applications, demonstrating large language models (LLMs) for various use cases.
- Stay updated with the latest ML/AI research and integrate new techniques into our products.
- Select appropriate datasets, perform data preprocessing, and ensure data quality for training models.
- Conduct machine learning tests, perform statistical analysis, and fine-tune models for efficient performance.
- Work closely with multi-disciplinary teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
- Guide and mentor junior team members, encouraging a culture of continuous learning and improvement.
Required Skills and Experience:- Educational background in Computer Science, Mathematics, or a related field.
- Proficiency in Python and Machine Learning (ML) frameworks such as PyTorch, TensorFlow, and Keras.
- Hands-on experience with Large Language Models and related tools.
- Strong problem-solving abilities and experience with statistical analysis.
- Effectively convey sophisticated technical concepts to non-technical team members.
- Ability to work collaboratively with fellow team members and lead multiple projects simultaneously.
Preferred Qualifications:
- Experience with cloud platforms like Azure, AWS, or Google Cloud for deploying and running ML models.
- Previous experience in a similar role within the AI/ML industry.
Minimum Qualifications
Typically requires a minimum of 5 years of related experience with a Bachelors degree, or 3 years of experience and a Masters Degree