Here's a typical job description :

Responsibilities :

- Designing and developing ML models : Create and fine-tune machine learning models using programming languages like Python or R.

- Data preprocessing : Clean and preprocess data to ensure it is suitable for model training.

- Implementing ML algorithms : Apply appropriate machine learning algorithms to build predictive models.

- Testing and validating models : Run tests to assess model performance and make necessary adjustments.

- Deploying models : Package and deploy models into production environments.

- Monitoring and maintaining models : Continuously monitor model performance and retrain models as needed.

- Collaborating with teams : Work with data scientists, engineers, and other stakeholders to achieve project goals.

- Staying updated : Keep up with the latest developments in machine learning and AI.

Skills :

- Programming proficiency : Strong skills in Python, R, or other relevant programming languages.

- Machine learning expertise : Deep understanding of ML algorithms, libraries, and frameworks.

- Data analysis : Ability to analyze and interpret complex data sets.

- Problem-solving : Strong analytical and problem-solving skills.

- Communication : Excellent communication skills to collaborate with team members and stakeholders.

- Cloud services : Familiarity with cloud platforms like AWS, Google Cloud, or Azure