Senior AI Engineer - Databricks

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June 19

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Wizeline

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Enterprise • SaaS • Artificial Intelligence

Wizeline is a global technology services provider specializing in digital transformation. The company offers a wide range of services including product engineering, cloud and DevOps, data and AI, and design to help companies achieve high-impact innovation. Wizeline's offerings aim to enhance operational efficiency, improve customer experiences, and accelerate business outcomes through cutting-edge AI and agile methodology. They serve a variety of industries, such as media and entertainment, financial services, and healthcare, providing tailored solutions to meet specific market needs. Their focus on AI technologies and human-centric experiences positions them at the forefront of technology-driven business evolution.

1001 - 5000 employees

Founded 2014

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $43M Series B on 2018-03

📋 Description

• Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. • Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. • Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. • We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.

🎯 Requirements

• MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field. • Practical experience with the latest advancements in Large Language Models (LLM) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology. • Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques. • Intermediate to advanced experience in Azure Databricks. • Comfortable with asynchronous collaboration and working across time zones. • Experience working effectively with software engineering teams and mentoring other scientists.