Description
Responsibilities
- Build and optimize machine learning pipelines for scalability and performance.
- Work with large datasets, leveraging data processing techniques and feature engineering.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers.
- Deploy AI models into production environments using cloud services and containerization.
- Monitor and maintain AI models, ensuring performance, accuracy, and efficiency.
- Stay updated with the latest advancements in AI and machine learning technologies.
Qualifications
- Basic understanding of AI technologies including large language models, natural language processing and data structures
- Knowledge of Agile development practices
- Basic understanding of javascript language
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or comparable work experience
- Additional experience with these technologies is preferred, but not required:
- Microsoft SQL Server
- AWS Services
- Demonstrated proficient knowledge of software development practices, computer science theory, and understanding of relevant technologies.
- Demonstrated basic understanding of product architecture and all underlying technologies.
- Ability to work well both independently and within a team environment.
- Good interpersonal skills including verbal and written communication and teamwork.
- Well-developed logical thinking, reasoning, and problem-solving skills.
- Ability to prioritize and complete multiple tasks in a fast-paced, technical environment.
- Keen attention to detail.
- Strong verbal and written communication skills with both technical and non-technical colleagues
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