Descripción del puesto

The company’s fastest-growing service line is AI data services. We are partnering with clients across diverse industries to help them create, collect, annotate, or QA their training data to optimize their AI and machine learning applications. Our AI Data Services encompass a wide range of solutions, including data generation, labeling, validation, and augmentation, enabling our clients to build, deploy, and improve their AI models effectively. By leveraging our expertise in natural language processing, computer vision, and other AI-related technologies, we empower clients to harness the full potential of AI and drive significant business growth.

The purpose of this Operations Solution Engineer role is to enable the delivery of high-quality AI data services to our clients, empowering them to harness the full potential of AI and NLP technologies in their operations.

This role is pivotal to bridge the gap between Operations and customer needs, ensuring that our solutions are effectively implemented and optimized to meet client requirements. The Operations Solutions Engineer will leverage their applied experience and knowledge in developing AI modes to collaborate closely with our Operations team, driving project improvements, debugging issues, and launching new initiatives.

Our projects are consultative engagements designed to help our customers launch, improve, or maintain their ML models. This role will focus on ensuring that our AI data services align with client expectations and operational standards.

These projects might include:

• Collecting training data and/or testing data for language models for deployment in multilingual conversational AI, search relevance, or other implementations.
• Data annotation and labeling to improve discovery/search results, model accuracy for sentiment analysis, sensitive content detection, and named entities.
• Data validation and classification.

Responsibilities:

• Collaborate with the Operations team to understand customers' project goals, and help define data specifications and acceptance protocols to enable scoping of incoming AI projects.
• Provide engineering support for the development and enhancement of AI enablement tools and NLP applications, ensuring that internal project specifications and workflows are successfully implemented.
• Work with the quality team to design and implement quality evaluation protocols, data specification compliance tools, and defect management strategies to ensure high standards are met throughout the project lifecycle.
• Make fit-for-purpose work surface recommendations and work with internal product owners to advocate for features necessary to accomplish project goals.
• Stay current with the latest trends and advancements in AI and NLP, proactively exploring new technologies and methodologies to enhance our services.
• Manipulate and manage large data sets for file management across various tools and platforms to support project needs.
• Assist in architecting and proposing client-facing technical solutions, ensuring that the internal implementation aligns with client-specific AI needs, even without direct client interaction.

Requisitos

Requirements:

• 2+ years of engineering experience, ideally in a client-facing setting.
• Bachelor's degree with strong engineering background or an analytics-heavy field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience.
• Demonstrated proficiency in data structures to optimize data handling and processing, essential for effective AI model training and data management.
• Hands-on experience in ML lifecycle applications, data management, and data wrangling.
• Skills in front-end development for creating and managing specialized web tools would be a plus in this role.
• A track record in deploying and maintaining NLP models, with a strong understanding of NLP concepts and techniques would be a plus.
• Proficiency in at least one scripting language, preferably Python.
• Experience with programming languages, preferably C#.
• Experience working with REST APIs
• Experience with Jupyter or common data processing libraries (e.g., Pandas) is a plus.
• Passion for AI and ML technologies, with a history of exploring new concepts and techniques.

Beneficios

Benefits:

• National public holidays.
• Vacations: 3 weeks per year.
• Work laptop provided.