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.

Job Overview

G2i Inc. is seeking a skilled Software Engineer specializing in Training AI Data with a strong background in Python development. In this role, the engineer will be responsible for designing, implementing, and optimizing data processing workflows that enhance AI model training. The ideal candidate will collaborate with cross-functional teams to ensure data quality, robustness of algorithms, and scalability of solutions. This position offers an exciting opportunity to contribute to cutting-edge projects and drive innovation in AI applications.

Job Responsibilities

• Develop and maintain Python-based data processing pipelines tailored for AI model training.
• Collaborate with data scientists to analyze data needs and create efficient data architecture.
• Implement data validation and cleaning processes to ensure high data quality.
• Optimize existing code for performance and scalability.
• Participate in code reviews to maintain code quality and share knowledge.
• Document processes and workflows to facilitate teamwork and onboarding.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in Python programming and familiarity with libraries such as Pandas, NumPy, and scikit-learn.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with data processing frameworks like Apache Spark or Apache Kafka is a plus.
• Knowledge of machine learning concepts and algorithms is advantageous.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The Software Engineer for Training AI Data at G2i Inc. will primarily work with Python as the programming language and utilize a range of data processing tools such as Pandas and NumPy. Additionally, familiarity with machine learning libraries and frameworks, as well as cloud services like AWS or Azure for scalable data storage and processing, will be beneficial. Experience with modern software development tools including Git, Docker, and CI/CD pipelines will facilitate effective project execution.

Ideal Candidates

The ideal candidates for this position are innovative thinkers who possess a strong foundation in software engineering principles and a passion for artificial intelligence. They should exhibit a keen attention to detail while being capable of working in a dynamic, collaborative environment. Effective communicators who can articulate complex technical concepts clearly are sought-after, as well as individuals who are proactive in their approach to problem-solving and eager to learn new technologies.