Google Cloud AI Specialist

Müller's Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.Key Responsibilities:Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoMLCollaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirementsConduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrityImplement and optimize AI workflows that facilitate real-time data processing and inferenceStay updated on the latest advancements in AI and machine learning technologies to continuously improve our offeringsProvide technical guidance and support to teams on best practices for using Google Cloud AI servicesDocument AI project implementations, model performance evaluations, and ongoing maintenance proceduresContribute to developing educational materials and training sessions on AI capabilities for staff and stakeholdersMonitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectivenessRequirementsRequirements:Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud PlatformProficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn)Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoMLStrong knowledge of data preprocessing, feature engineering, and model evaluation techniquesAbility to work with large datasets, utilizing BigQuery or similar data processing toolsExcellent problem-solving skills and a strong analytical mindsetCapable of communicating complex technical concepts to diverse audiences effectivelyPreferred Qualifications:Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plusExperience with MLOps practices and tools for model deployment and managementFamiliarity with DevOps practices as they relate to AI and machine learningA background in statistics or applied mathematics is desirableBenefits1- Attractive Package.2- Family Benefits.3- Visa.4-Air Tickets.