Software Engineer for AI Training Data (Python)

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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 skilled Software Engineer specializing in AI Training Data, with a strong background in Python programming. The ideal candidate will contribute to the development and enhancement of our AI models by creating and managing training datasets. This role involves collaborating with data scientists and other engineers to ensure the quality and efficiency of training data pipelines, thereby facilitating the accurate training of artificial intelligence models.

Job Responsibilities

• Design and implement data processing pipelines for AI training datasets.
• Collaborate with data scientists to understand data requirements and optimization techniques.
• Develop automated scripts in Python to enhance data collection and preprocessing.
• Ensure data quality and integrity through proper validation and cleaning methods.
• Monitor and optimize the performance of training datasets and pipelines.
• Document processes and results for reproducibility and compliance.
• Participate in code reviews and provide constructive feedback to team members.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field.
• Proven experience in Python programming, with a strong understanding of libraries such as Pandas, NumPy, and scikit-learn.
• Familiarity with working in AI/ML contexts and understanding data annotation processes.
• Experience with SQL and NoSQL databases for data management and retrieval.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Technologies & Tools

The Software Engineer for AI Training Data at G2i Inc. will utilize an array of technologies and tools including but not limited to Python programming language, data visualization tools, cloud computing platforms (such as AWS or Azure), and machine learning frameworks (such as TensorFlow or PyTorch). Familiarity with Git for version control and Jupyter notebooks for experimentation will also be essential in this role.

Ideal Candidates

The ideal candidate will possess a passion for data and its pivotal role in artificial intelligence. They should be detail-oriented, proactive, and demonstrate strong critical thinking skills. A good fit for this position will also exhibit adaptability in a fast-paced environment, excellent collaboration skills across multidisciplinary teams, and a commitment to producing high-quality work for the effective training of AI models.