Google Cloud AI Architect

Description

Job Summary: Devoteam is seeking an ML Architect with experience in Google Cloud to design, develop, deploy, and manage machine learning models, collaborating with multidisciplinary teams. Key Highlights: 1. Collaboration with multidisciplinary teams 2. Staying up-to-date with the latest trends in machine learning 3. Professional and personal development with HRBP - 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 positive change, maintaining a balance that enables us to offer our client portfolio top-tier technological tools while always preserving the closeness and professionalism of a team acting as your guide along the way. For over 25 years, Devoteam has been betting on technology serving people. With more than 10\.000 professionals across 20 countries in Europe, the Middle East, and Africa. At Devoteam, we are seeking an ML Architect with a detailed description of the key tasks and responsibilities a Google Cloud Machine Learning Engineer would undertake: **Model Design and Development:** * **Problem and Requirement Analysis:** Collaborate with multidisciplinary teams to understand business problems and translate them into viable machine learning solutions. * **Algorithm and Technique Selection:** Select the most appropriate machine learning algorithms and techniques to address specific problems. * **Model Development and Training:** Use GCP tools and frameworks (e.g., TensorFlow, Keras, scikit\-learn) to develop, train, and evaluate machine learning models. * **Model Optimization:** Tune hyperparameters and model architectures to improve performance and accuracy. **Data Preparation and Management:** * **Data Collection and Cleaning:** Gather data from diverse sources and perform cleaning and preprocessing tasks to ensure data quality. * **Exploratory Data Analysis:** Explore and understand data to identify patterns, trends, and anomalies. * **Feature Engineering:** Transform and create relevant features to enhance model performance. * **Data Storage and Management:** Use GCP storage services (e.g., BigQuery, Cloud Storage) to store and manage large volumes of data efficiently. **Model Deployment and Management:** * **Production Model Deployment:** Deploy trained models into production environments using GCP services (e.g., AI Platform, Cloud Functions). * **Model Monitoring and Maintenance:** Monitor model performance in production and perform updates and adjustments as needed. * **Model Scalability:** Ensure models can handle large volumes of data and real-time requests. * **Process Automation:** Use automation and orchestration tools (e.g., Cloud Composer, Kubeflow) to streamline the machine learning workflow. **Collaboration and Communication:** * **Teamwork:** Collaborate closely with data scientists, software engineers, solution architects, and other professionals. * **Effective Communication:** Clearly and concisely present findings and results to both technical and non-technical audiences. * **Documentation:** Maintain comprehensive and up-to-date documentation for machine learning projects. **Research and Development:** * **Staying Current:** Keep abreast of the latest trends and advancements in the field of machine learning. * **Experimenting with New Technologies:** Explore and evaluate new machine learning tools and techniques. * **Community Contribution:** Share knowledge and experiences through publications, presentations, and open-source projects. **Key Skills:** * **Strong Machine Learning Knowledge:** Proficiency in machine learning algorithms, techniques, and frameworks. * **Programming Experience:** Fluency in Python and other relevant programming languages. * **Familiarity with GCP:** Knowledge of GCP services and tools for machine learning. * **Analytical and Problem-Solving Skills:** Ability to analyze complex problems and devise effective solutions. * **Communication and Collaboration:** Ability to work effectively in teams and communicate clearly and concisely. - Permanent contracts. Work-Life Balance Measures: flexible working hours, intensive workdays on Fridays and during summer months, spatial flexibility measures, administrative support and assistance for maternity and paternity leave applications, participation in training activities, etc.). Access to the Flexible Compensation Plan (Health Insurance, Childcare Vouchers, Meal Vouchers, Transport Card, and Training). Free physiotherapy service at the headquarters. Assignment of an HRBP to accompany you throughout your career, supporting your professional and personal development during your tenure. English classes. Resources for Devoteamers (offering employee discounts on goods purchases, ticket bookings, travel, etc.). The Devoteam Group champions equal opportunities, promotes employees based on merit, and actively combats all forms of discrimination. We firmly believe that diversity and equality foster creativity, dynamism, and excellence within our organization, contributing to societal progress. All our positions are open to everyone.