ChicMic Studios - Artificial Intelligence Expert - Machine Learning Models

Key Responsibilities :

- Develop and maintain web applications using Django and Flask frameworks.

- Design and implement RESTful APIs using Django Rest Framework (DRF).

- Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.

- Build and integrate APIs for AI/ML models into existing systems.

- Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.

- Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.

- Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.

- Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

- Ensure the scalability, performance, and reliability of applications and deployed models.

- Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.

- Write clean, maintainable, and efficient code following best practices.

- Conduct code reviews and provide constructive feedback to peers.

- Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.

Required Skills and Qualifications :

- Bachelors degree in Computer Science, Engineering.

- 3+ years of professional experience as a Python Developer.

- Proficient in Python with a strong understanding of its ecosystem.

- Extensive experience with Django and Flask frameworks.

- Hands-on experience with AWS services for application deployment and management.

- Strong knowledge of Django Rest Framework (DRF) for building APIs.

- Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

- Experience with transformer architectures for NLP and advanced AI solutions.

- Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

- Familiarity with MLOps practices for managing the machine learning lifecycle.

- Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.