Chief Artificial Intelligence Delivery Officer Setúbal

Chief Artificial Intelligence Delivery Officer
Setúbal
Setúbal, Portugal

Job Description

We are seeking a seasoned Machine Learning Engineering Manager to lead our ML knowledge team. The mission of the team is twofold: enable knowledge creation through generative AI and make generated knowledge discoverable via information retrieval systems.

As an ML Engineering Manager, you will oversee a
- functional team responsible for
-
- end delivery of machine
- powered features. You will leverage your machine learning expertise to steer the team while ensuring adherence to
- tier engineering practices.

The team's success relies on your ability to deploy ML models reliably at scale, with suitable cost, and measurable quality. You will collaborate with various partners (Engineering, Product, Architects, and Tech Leads) to ensure your team's roadmap aligns with company strategy and the team ships architecturally sound software at a regular cadence.

Key Responsibilities:

• Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance throughout the lifecycle of an ML project.
• Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.
• Recruit new team members and facilitate a speedy, engaged interview process.
• Hold quality 1:1s with team members.
• Establish a diverse and inclusive working environment where people can thrive.

Requirements:

• Experience managing people across one or more teams, ideally working with large, distributed Internet-facing systems.
• Proven expertise in managing the delivery of machine learning projects to production.
• Expertise in NLP or Information Retrieval is a significant plus.
• Excellent communication skills, both written and verbal.
• Refined prioritization skills, able to focus time and energy on
  - impact areas.
• Dedication to continual
  - development.
• Collaborative, upbeat work ethic with ownership and a passion for having fun.

Our Tech Stack:

• Code written in Python, Ruby, Scala, and Java.
• Servers live in AWS.
• ML models rely on Py
  Torch and Tensorflow.
• ML pipelines use AWS Batch and EMR.
• Data stored in S3, RDS My
  SQL, Redis, Elastic
  Search, and Aurora.
• Services deployed to Kubernetes using Docker, with Kafka for
  - processing.

What We Offer:

• Full ownership of projects.
• A huge impact on what you do.
• A team of passionate people who love their work.
• Interesting projects with the opportunity to implement your own ideas and improvements.
• Opportunities for learning and growth.

Additional Benefits:

• Flexible working hours.
• Professional development funds.
• Comfortable office and remote setup.
• Choice of laptop and other equipment.
• Premium medical insurance and private life assurance.