Google Cloud AI Specialist

Müller's Solutions; Dubai; On-site; AED 240,000 - 420,000; Full time

Benefits offered by this job

Attractive Package.

Family Benefits.

Visa.

Air Tickets.

Job summary

Müller’s Solutions is seeking an experienced ML engineer in Dubai to develop and deploy ML models using Google Cloud Platform tools such as AI Platform, TensorFlow, and AutoML. You will collaborate with cross-functional teams to convert business needs into AI/ML projects and prepare high-quality data for training and evaluation.

The role involves implementing real-time AI workflows, staying current with AI advances, and guiding teams on best practices for Google Cloud AI services while

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, or related field.
• 3+ years of ML or AI solutions development, preferably on GCP.
• Proficient in Python or R with ML libraries like TensorFlow and scikit-learn.
• Experience with GCP AI services (Vision AI, Natural Language API, AutoML).
• Strong data preprocessing, feature engineering, and model evaluation skills.
• Experience handling large datasets with BigQuery or equivalent.
• Excellent problem-solving and analytical thinking.
• Ability to communicate complex concepts to diverse audiences.

Responsibilities

• Develop and deploy ML models using GCP tools such as AI Platform, TensorFlow, and AutoML.
• Collaborate with cross-functional teams to translate business needs into AI/ML project requirements.
• Prepare datasets for model training and evaluation, ensuring data quality and integrity.
• Implement and optimize AI workflows for real-time data processing and inference.
• Stay updated on AI/ML advancements to improve offerings.
• Provide technical guidance on Google Cloud AI services to teams.
• Document AI project implementations, model performance evaluations, and maintenance procedures.
• Develop educational materials and training sessions on AI capabilities for staff and stakeholders.
• Monitor deployed models and adjust as needed to ensure effectiveness.

Skills

Python

R

TensorFlow

scikit-learn

BigQuery

Data preprocessing

Model evaluation

Communication

Problem solving

Education

Bachelor's degree in Computer Science, Data Science, AI or related field

Tools

GCP Vision AI

Natural Language API

AutoML

AI Platform

MLOps

Job description

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

• 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

• Attractive Package.
• Family Benefits.
• Visa.
• Air Tickets.