Offer summary

Qualifications:

MS in Computer Science, Artificial Intelligence, Machine Learning, or related field; PhD preferred., Practical experience with Large Language Models (LLM) and generative AI., Deep technical knowledge of Machine Learning and Deep Learning architectures., Intermediate to advanced experience in Azure Databricks..

Key responsibilities:

Collaborate with software engineering teams to implement AI solutions.

Mentor other scientists and share knowledge on AI advancements.

Engage in asynchronous collaboration across time zones.

Develop and optimize machine learning models and architectures.

Job description

The Company

Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.

Are You a Fit?

To be successful in this role, you must have:

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.

About Us

Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. 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.