Senior AI Developer - Machine Learning Expert

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

• Proven experience in machine learning, data science, or AI development

• Experience with machine learning lifecycle management and LLM deployment strategies

• Experience with SaaS platforms and cloud services (AWS, Google Cloud, Azure)

• Familiarity with cloud services (AWS, Azure, GCP) and managing ML applications in cloud environments

• Excellent problem-solving, analytical, and communication skills

Responsibilities

• As a key member of our engineering department, you will be responsible for creating and implementing sophisticated AI systems that meet the needs of our customers

• Design and develop scalable machine learning solutions for SaaS applications, focusing on accuracy, efficiency, reliability, and speed

• Collaborate with data scientists to refine algorithms and improve model performance based on real-world data and feedback

• Participate in the entire project lifecycle from research and development to deployment and maintenance of ML models

• Work on model serving, ensuring models are efficiently deployed and integrated into production environments

• Manage databases and ensure the integrity and security of data used in training and running ML models

• Stay current with the latest ML technologies and methodologies, suggesting innovative solutions to enhance project outcomes

Full Description

About Us

Radiant Security is a pioneering company that specializes in developing cutting-edge AI-powered security solutions.

Our goal is to empower security teams with the most advanced technology available.

The Role:

We are looking for a skilled Senior Machine Learning Engineer to join our team.

As a key member of our engineering department, you will be responsible for creating and implementingsophisticated AI systems that meet the needs of our customers.

Key Responsibilities:

• Design and develop scalable machine learning solutions for SaaS applications, focusing on accuracy, efficiency, reliability, and speed.

• Collaborate with data scientists to refine algorithms and improve model performance based on real-world data and feedback.

• Participate in the entire project lifecycle from research and development to deployment and maintenance of ML models.

• Work on model serving, ensuring models are efficiently deployed and integrated into production environments.

• Manage databases and ensure the integrity and security of data used in training and running ML models.

• Stay current with the latest ML technologies and methodologies, suggesting innovative solutions to enhance project outcomes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Proven experience in machine learning, data science, or AI development.

• Experience with machine learning lifecycle management and LLM deployment strategies.

• Experience with SaaS platforms and cloud services (AWS, Google Cloud, Azure).

• Familiarity with cloud services (AWS, Azure, GCP) and managing ML applications in cloud environments.

• Excellent problem-solving, analytical, and communication skills.