Software Engineer for Training AI Data (Python)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by G2i Inc., so some details may not match this job. The employer's own page has the real description.

Overview

G2i Inc. is seeking a highly skilled Software Engineer to focus on Training AI Data utilizing Python. The ideal candidate will be responsible for designing, developing, and optimizing data-driven AI applications. This role requires a deep understanding of machine learning principles, data manipulation, and proficiency in Python to ensure the successful execution of AI training tasks. The Software Engineer will collaborate with cross-functional teams to implement solutions that enhance AI model performance and scalability.

Job Responsibilities

• Design and develop robust software applications to support AI training processes using Python.
• Collaborate with data scientists and machine learning engineers to create and refine training datasets.
• Implement efficient data pipelines for data preprocessing, augmentation, and feature engineering.
• Optimize existing code and algorithms to improve training performance and speed.
• Conduct tests and validations to ensure data integrity and accuracy for AI models.
• Participate in code reviews to maintain high code quality standards.
• Document software processes and maintain comprehensive records of changes and updates.
• Stay abreast of emerging technologies and recommend enhancements to the platform.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Software Engineer or similar role, specifically in AI data training.
• Strong proficiency in Python and familiarity with libraries such as TensorFlow, Keras, or PyTorch.
• Experience with data manipulation libraries such as Pandas and NumPy.
• Knowledge of machine learning principles and algorithms.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Experience with version control systems, preferably Git.
• Strong communication skills to effectively collaborate across teams.

Technologies & Tools

The Software Engineer will primarily utilize a variety of technologies and tools including Python, TensorFlow, Keras, NumPy, Pandas, Git, and cloud services such as AWS or Azure. Proficiency in data visualization tools and familiarity with containerization technologies like Docker is also beneficial for this position.

Ideal Candidates

The ideal candidate for this position will be a proactive and innovative thinker with a strong willingness to learn and adapt to new technologies. They should possess a collaborative spirit and the ability to work well under pressure, meeting deadlines without compromising quality. A passion for AI and data-driven decision-making, along with a strong work ethic and attention to detail, will contribute to the candidate's success in this role.