Manager, Data Science – AI Engineering

Role Overview

• Provide technical guidance to teams and projects for international clients
• Work alongside Data Scientists, Data Engineers, and AI Engineers in data and AI projects
• Lead and mentor cross-functional engineers to deliver high-quality solutions while fostering collaboration and growth.
• Support strategy teams in identifying and implementing robust AI and data strategies to solve business challenges.
• Stay up-to-date with Data & AI trends, tools and frameworks, introducing innovations and process improvements to teams when appropriate.
• Maintain strong relationships with clients and internal teams, advocating for the best use of AI and Data practices

Requirements

• 7+ years of professional experience in Data Science or Software Engineering, alongside a minimum of one year of experience in GenAI engineering, developing AI solutions.
• You are driven by curiosity and enthusiasm about learning new technologies.
• Foster team autonomy and proactive engagement.
• Proven experience designing and deploying AI architectures, with expertise in Generative AI, NLP, LLM integration, and software engineering.
• Have strong technical expertise in Software Engineering and coding best practices, proficiency in Python is preferable.
• Have a deep understanding of Data Science, especially in the field of Generative AI, being used to concepts such as LLMs, RAGs, and Agentic AI.
• Have experience in data strategy and governance techniques, driving clients to the successful implementation of data and AI solutions.
• Have led a group of engineers building solutions and have been responsible for growing the people on the team through goal-setting, coaching, and feedback.
• Are comfortable having difficult conversations and always have your clients' and teammates' best interests in mind.
• Have familiarity with Agile techniques for managing work, quality assurance, testing, and LLM evaluation.
• Can simplify and communicate about complex problems around technology, business processes, user experience, and development tasks.
• Practical knowledge of deploying AI solutions using cloud platforms like AWS, Azure, or GCP, utilizing services such as AWS Bedrock or Azure AI Services.
• Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Python

Benefits

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance and more!