Google Cloud AI Specialist

As a Google Cloud AI Specialist at Mllers Solutions, you will be at the forefront of our artificial intelligence initiatives, leveraging Google Cloud Platform (GCP) to design and implement AI and machine learning solutions. Your role is crucial in transforming data into actionable insights, enhancing decision-making processes, and driving innovation across the organization. Key Responsibilities: - Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML. - Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements. - Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity. - Implement and optimize AI workflows enabling real-time data processing and inference. - Stay updated on the latest advancements in AI and machine learning technologies to continually enhance our offerings. - Provide technical guidance and support on best practices for utilizing Google Cloud AI services. - Document AI project implementations, model performance evaluations, and ongoing maintenance procedures. - Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders. - Monitor and assess the performance of deployed AI models, making necessary adjustments for effectiveness. Requirements: - Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform. - Proficiency 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 AutoML. - Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. - Ability to work with large datasets, utilizing BigQuery or similar data processing tools. - Excellent problem-solving skills and a strong analytical mindset. - Capable of effectively communicating complex technical concepts to diverse audiences. Preferred Qualifications: - Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus. - Experience with MLOps practices and tools for model deployment and management. - Familiarity with DevOps practices as they relate to AI and machine learning. - A background in statistics or applied mathematics is desirable. (Note: Benefits such as Attractive Package, Family Benefits, Visa, and Air Tickets are provided, but specific details are not included in the job description.) As a Google Cloud AI Specialist at Mllers Solutions, you will be at the forefront of our artificial intelligence initiatives, leveraging Google Cloud Platform (GCP) to design and implement AI and machine learning solutions. Your role is crucial in transforming data into actionable insights, enhancing decision-making processes, and driving innovation across the organization. Key Responsibilities: - Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML. - Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements. - Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity. - Implement and optimize AI workflows enabling real-time data processing and inference. - Stay updated on the latest advancements in AI and machine learning technologies to continually enhance our offerings. - Provide technical guidance and support on best practices for utilizing Google Cloud AI services. - Document AI project implementations, model performance evaluations, and ongoing maintenance procedures. - Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders. - Monitor and assess the performance of deployed AI models, making necessary adjustments for effectiveness. Requirements: - Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform. - Proficiency 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 AutoML. - Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. - Ability to work with large datasets, utilizing BigQuery or similar data processing tools. - Excellent problem-solving skills and a strong analytical mindset. - Capable of effectively commun