Google Cloud AI Engineer

Devoteam is a leading European consultancy focused on digital strategy, technology platforms, cybersecurity and business transformation through technology.
Technology is in our DNA and we believe in it as a lever capable of driving change for the better, maintaining a balance that allows us to offer our client portfolio first class technological tools but always with the proximity and professionalism of a team that acts as a guide along the way.
Devoteam has been committed to technology at the service of people for more than 30 years. With more than 11,000 people in the group, in 25 countries in Europe, the Middle East and Africa.

We are seeking a talented Google Cloud AI Engineer to join our innovative team. As a key member of our organization, you will be responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions using Google Cloud Platform (GCP).

Design and develop scalable AI and machine learning models using GCP's AI and ML services
Implement and optimize machine learning algorithms for various business applications
Collaborate with cross-functional teams to identify and solve complex business problems using AI technologies
Develop and maintain CI/CD pipelines for AI model deployment and management
Analyze large datasets and create efficient data processing pipelines
Ensure the performance, scalability, and reliability of AI solutions in production environments
Stay up-to-date with the latest advancements in AI/ML technologies and GCP services
Provide technical guidance and mentorship to junior team members
Contribute to the development of best practices and standards for AI engineering within the organization

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
3+ years of experience in AI/ML engineering, with a focus on cloud-based solutions
Strong proficiency in programming languages such as Python, Java, or C++
Extensive experience with Google Cloud Platform and its AI/ML services
In-depth knowledge of machine learning algorithms, frameworks, and best practices
Experience with big data technologies like Hadoop and Spark
Familiarity with version control systems (e.g., Git) and CI/CD pipelines
Strong analytical and problem-solving skills with attention to detail
Excellent communication and teamwork abilities
Google Cloud Professional AI Engineer certification is preferred
Demonstrated experience in implementing and deploying AI models in production environments
Solid understanding of cloud architecture and infrastructure
Proficiency in data processing, analysis, and visualization techniques