Solutions Engineer

December 21

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Appen

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Search • Annotation • Evaluation • Personalization • Transcription

501 - 1000 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Description

• Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. • We leverage our global crowd of over one million skilled contractors. • Our data is crucial for building and continuously improving the world's most innovative AI systems. • We are committed to creating an inclusive and diverse workplace. • Appen is seeking a talented Solutions Engineer to join our Solutions team. • This role involves driving technical pre-sales engagement with prospective customers. • You will architect enterprise data enrichment solutions and explain our data annotation platform. • Solutions Engineers collaborate with operations and business development to craft solutions for customer business problems.

Requirements

• Hands-on, technical, problem solver. • Working knowledge of scripting and coding, database querying, and web development (e.g. Python, JavaScript, HTML, CSS, and SQL). • Knowledge of ETL and ETL workflows. • Experience with AWS. Proficient in using AWS services such as S3, Lambda, EC2, DynamoDB, and Bedrock. • Custom API Development. Skilled in dealing with custom APIs, including building and integrating them. • Comfortable working with customers and public speaking (there will be some customer / conference travel for this role). • Strong communication skills, including the ability to relate complicated concepts to both non-technical and technical audiences. • Minimum 5 years of experience in a technology company and demonstrable success working in a customer-facing role REST API development experience. • Experience working in the AI & ML domains is preferred and if this includes working with clients in the Search, Natural Language Understanding or Computer Vision space. • Experience in working with Large Language Models (LLMs) through both user interfaces and scripts. Comprehensive understanding of LLM evaluation, development, and maintenance to ensure safety and reliability. • Desire to learn continuously about new ideas and concepts in data science.