AI Developer

Job Overview

Job Title: AI Developer

Date Posted: 13/09/2024

Location: Not specified

Duration: Permanent

Key Responsibilities:

1. Design, develop, and implement machine learning models and algorithms tailored to recruitment processes, including candidate screening, matching, and recommendation systems.
2. Analyze large datasets to extract meaningful insights and patterns.
3. Integrate AI models into the recruitment platform, ensuring seamless operation and scalability. Work on deployment pipelines to bring models into production.
4. Continuously monitor and improve the performance of AI models. Fine-tune algorithms for better accuracy and efficiency.
5. Collaborate with the CTO and other stakeholders to understand business requirements and translate them into technical specifications. Work with software engineers, data scientists, and product managers to implement AI-driven features.
6. Stay up-to-date with the latest developments in AI and machine learning. Explore new technologies and methodologies to enhance the platform’s capabilities.
7. Maintain comprehensive documentation of AI models, algorithms, and processes. Ensure clear communication of technical concepts to non-technical stakeholders.

Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2. Proven experience as an AI Developer, Machine Learning Engineer, or similar role.
3. Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, etc.
4. Familiarity with natural language processing (NLP) techniques and tools.
5. Proficiency in programming languages such as Python, R, or Java.
6. Strong understanding of data structures, algorithms, and software design principles.
7. Experience with cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Hadoop, Spark) is a plus.
8. Excellent problem-solving abilities and analytical thinking. Ability to interpret complex data and derive actionable insights.
9. Strong verbal and written communication skills. Ability to work effectively in a team and convey technical concepts to non-technical audiences.