Senior Python Developer (ML/AI experience)

We are seeking a talented and experienced Python Developer to join our team, focused on working with ChatGPT, AWS GlueJobs, and AWS SageMaker. The ideal candidate will have a strong background in software development, machine learning, and cloud-based services. The Python Developer will be responsible for building and maintaining applications and infrastructure that leverage ChatGPT and other AI technologies to create innovative solutions for our clients.

Responsibilities:

1. Develop and maintain applications using Python, with a focus on integrating ChatGPT, AWS GlueJobs, and AWS SageMaker.
2. Design, build, and deploy machine learning models using AWS SageMaker.
3. Implement ETL processes using AWS GlueJobs to process and transform large datasets.
4. Collaborate with cross-functional teams to define, design, and ship new features and enhancements.
5. Optimize applications for maximum performance, scalability, and maintainability.
6. Troubleshoot, debug and resolve software defects and issues.
7. Keep up-to-date with the latest industry trends and technologies to ensure the software is current and competitive.
8. Provide technical guidance and support to other team members.
9. Write clean, maintainable, and well-documented code.
10. Participate in code reviews and contribute to improving code quality.

Requirements

• 3+ years of experience in software development using Python.
• Hands-on experience with AWS services such as GlueJobs, SageMaker, S3, Lambda, and EC2.
• Strong understanding of machine learning concepts, NLP, and ChatGPT.
• Experience in building, training, and deploying machine learning models.
• Familiarity with ETL processes and data transformation using AWS GlueJobs.
• Strong knowledge of web services, API development, and RESTful APIs.
• Proficient understanding of code versioning tools, such as Git.
• Excellent problem-solving skills and attention to detail.
• Strong verbal and written communication skills.

Preferred Qualifications:

• Experience working with other AI and NLP technologies, such as OpenAI's GPT family, TensorFlow, or PyTorch.
• Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.
• Familiarity with agile development methodologies, such as Scrum or Kanban.