AI Data Solutions Engineer
hace 2 semanas
We are seeking a highly skilled Ai Data Solutions Engineer to join our team at Welocalize. As a trusted global transformation partner, we accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences.
As a key member of our team, you will be responsible for delivering high-quality AI data services to our clients, empowering them to harness the full potential of AI and NLP technologies in their operations.
Key Responsibilities- Collaborate with Operations Team: Work closely with our Operations team to understand customers' project goals, help define data specifications, and acceptance protocols to enable scoping of incoming AI projects.
- Provide Engineering Support: Offer engineering support for the development and enhancement of AI enablement tools and NLP applications, ensuring that internal project specifications and workflows are successfully implemented.
- Quality Evaluation and Management: Work with our 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.
- Client-Facing Technical Solutions: 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.
- Staying Current with Industry Trends: Stay up-to-date with the latest trends and advancements in AI and NLP, proactively exploring new technologies and methodologies to enhance our services.
- 2+ Years of Engineering Experience: Possess 2+ years of engineering experience, ideally in a client-facing setting.
- Strong Engineering Background: Hold a Bachelor's degree with a strong engineering background or an analytics-heavy field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience.
- Proficiency in Data Structures: Demonstrate 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: Possess hands-on experience in ML lifecycle applications, data management, and data wrangling.
- Programming Skills: Be proficient in at least one scripting language, preferably Python, and have experience with programming languages, preferably C#.
- Experience with REST APIs: Have experience working with REST APIs.
- Passion for AI and ML: Demonstrate a passion for AI and ML technologies, with a history of exploring new concepts and techniques.
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