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.

Job Overview

G2i Inc. is seeking a talented and detail-oriented Software Engineer specializing in AI Training Data utilizing Python. In this role, the successful candidate will be responsible for developing and implementing robust data pipelines to enhance the efficiency and accuracy of AI models. The engineer will collaborate closely with data scientists and engineers to gather, preprocess, and manage training data, ensuring that the AI systems are equipped with high-quality input. A deep understanding of Python programming, coupled with a passion for AI technologies, will be essential for success in this position.

Job Responsibilities

• Design, implement, and optimize data pipelines for AI training data processing.
• Collaborate with data scientists to understand data requirements for AI model development.
• Preprocess and clean large datasets to ensure high data quality.
• Conduct thorough testing and validation of data accuracy and completeness.
• Continuously monitor data flows, resolving any issues that arise in a timely manner.
• Document data processes and pipelines to facilitate knowledge sharing and onboarding of new team members.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficient in Python programming and familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Experience in data engineering or software development roles with a focus on AI/ML applications.
• Strong understanding of AI training data best practices and data management principles.
• Knowledge of databases and query languages (SQL, NoSQL).
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a collaborative team.

Technologies & Tools

The Software Engineer for AI Training Data will be working with a variety of technologies and tools including Python, Apache Airflow for workflow management, cloud platforms such as AWS or Azure for data storage solutions, and data visualization tools like Tableau. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) will also be beneficial for effective collaboration with data scientists.

Ideal Candidates

The ideal candidates for this position will exhibit strong analytical skills and a meticulous approach to managing and processing data. They should be proactive learners with a keen interest in AI and machine learning technologies. Candidates who thrive in fast-paced environments and embrace challenges while demonstrating effective communication skills will fit well in our collaborative team culture. A commitment to continuous improvement and innovation is essential for success in this role.