Crest Infosystems - Python Developer - Artificial Intelligence/Machine Learning (3-5 yrs)

Job Description :

We are seeking a Python Developer with a solid foundation in AI/ML technologies to join our growing team.

In this role, you will develop high-performance Python applications while incorporating machine learning models and algorithms to drive business solutions.

Natural Abilities :

- Smart, self-motivated, responsible, and out of the box thinker.

- Detailed oriented and powerful analyzer.

- Great writing communication skills.

Requirements :

- 3+ years of Python development experience, with a strong understanding of core Python principles and libraries.

- Experience with Web Frameworks : Proficiency in at least one Python web framework (e.g, Django, Flask, or FastAPI).

- AI/ML Exposure : Experience working with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn.

- This could include implementing models, fine-tuning, or integrating pre-built models into applications.

- Version Control : Proficiency in using version control tools like Git.

- RESTful APIs : Experience working with RESTful APIs and integrating them into applications.

- Problem-Solving Skills : Strong analytical and problem-solving abilities, with a passion for building efficient, scalable applications.

Responsibilities :

- Develop Scalable Python Applications : Design, implement, and maintain Python-based applications using frameworks like Django, Flask, or FastAPI.

- AI/ML Integration : Work with data scientists and engineers to integrate AI/ML models into existing applications, using tools like TensorFlow, PyTorch, or scikit-learn.

- Clean and Efficient Code : Write clean, efficient, and maintainable Python code following industry best practices.

- Collaboration : Collaborate with cross-functional teams to gather requirements and deliver solutions that align with business objectives.

- AI/ML Model Support : Support the deployment and integration of machine learning models into production environments, ensuring they run effectively at scale.

- Performance Optimization : Work on performance tuning and optimization for both code and machine learning models.

- Code Reviews and Documentation : Participate in code reviews, maintain documentation, and ensure your work is of the highest quality.