The Google Cloud AI Specialist will design and implement AI solutions using Google Cloud Platform to enhance decision-making and provide actionable insights, develop machine learning models, and ensure data quality.
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 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 that facilitate real-time data processing and inference.
- Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.
- Provide technical guidance and support to teams on best practices for using 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 adjustments as necessary to ensure effectiveness.
Requirements
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.
- Proficient 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 communicating complex technical concepts to diverse audiences effectively.
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.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Lead the UAE sales engineering function and regional pre-sales strategy. Manage, coach, and develop Sales Engineers while ensuring consistent, value-based customer engagements across complex enterprise deals. Partner with Sales and cross-functional teams on pipeline support, deal strategy, forecasting, customer transformation, product feedback, and repeatable solution frameworks. The role requires strong security and networking expertise, executive customer leadership, AI/ML understanding, and willingness to travel.
Top Skills:
Ai-Powered Threat DetectionAi/MlAutomated Policy GenerationCloud SecurityIdentity SecuritySaaSSaseSecure ConnectivitySecurity AnalyticsZero TrustZscaler Zero Trust Exchange
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise architecture engagements involving Dynatrace, observability, cloud platforms, application performance, infrastructure, networking, containers, automation, and solution design. Assess complex hybrid environments, guide customer engineering teams, troubleshoot performance issues, develop scripts and code, support implementations, coordinate product engineering feedback, and share best practices across consultancy teams. The role is remote with occasional travel to customer sites.
Top Skills:
AngularAnsibleArgocdAWSAws LambdaAzureBackstageC#DockerDocker SwarmDynatraceEcsFargateGCPJavaJavaScriptKubernetesNode.jsOpenshiftPuppetReactSQLTerraformTfs
Events • Food • Travel • Hospitality • Hotels & Resorts
Deliver personalized spa treatments and attentive guest care while maintaining clean, hygienic treatment rooms and luxury service standards. Support spa reception, gym, and pool operations; monitor facility readiness, report maintenance issues, promote wellness offerings, manage resources responsibly, and stay informed about industry trends. Create relaxing, personalized guest experiences through teamwork, flexibility, and attention to detail.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
