Software Engineer (AI Core)

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Written by AI from the job title and company, not by Phaidra, so some details may not match this job. The employer's own page has the real description.

Overview

The Software Engineer (AI Core) at Phaidra will play a pivotal role in developing and enhancing our artificial intelligence core to drive smarter solutions for our clients. This position involves collaborating with a dynamic team of engineers and data scientists to design, implement, and optimize AI algorithms and machine learning models. The ideal candidate will demonstrate a strong commitment to innovation, quality, and a deep understanding of the latest advancements in AI technology.

Job Responsibilities

• Design, develop, and implement AI algorithms and models to improve system performance.
• Collaborate with cross-functional teams to integrate AI functionalities into existing products.
• Analyze user feedback and system performance to refine and optimize AI applications.
• Conduct experiments and research to stay abreast of emerging AI technologies and methodologies.
• Prepare technical documentation and reports for both internal stakeholders and external partners.
• Debug and resolve issues related to AI systems and enhance system stability.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Proven experience in software development, with a focus on AI and machine learning.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Familiarity with common AI frameworks, such as TensorFlow or PyTorch.
• Understanding of algorithms, data structures, and software design principles.
• Excellent problem-solving skills and the ability to think critically under pressure.

Technologies & Tools

The Software Engineer (AI Core) will frequently work with a variety of technologies and tools including Python, TensorFlow, PyTorch, AWS, and Git. Familiarity with data analysis tools such as Pandas and NumPy will also be beneficial. Experience in using Docker or Kubernetes for deploying machine learning models in a cloud environment is a plus.

Ideal Candidates

The ideal candidates for this position are individuals who exhibit a strong analytical mindset and a passion for advancing technology through AI innovations. They should have the ability to work collaboratively in a team-oriented environment while being self-motivated learners. Excellent communication skills and adaptability to changing project requirements are also essential traits, enabling them to contribute effectively to the company’s strategic objectives.