Cloud Engineer

Nagarro; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A global tech company is seeking a Machine Learning specialist in Abu Dhabi to design and deploy AI solutions. The role requires extensive experience in machine learning and proficiency in cloud platforms like Azure. Candidates should have a Bachelor's degree in a related field and at least 7 years in the industry. The position offers full-time employment without remote options, focusing on operationalizing AI models and collaborating with cross-functional teams.

Qualifications

• 7 years of experience in Machine Learning or AI-related field.
• Banking experience is a plus.

Responsibilities

• Design, develop, and deploy machine learning AI solutions.
• Collaborate with data scientists, engineers, and product managers for AI integration.
• Operationalize AI and GenAI models for scalability and performance.
• Design and implement GenAI solutions on Azure and AWS.
• Conduct experiments, analyze results, and iterate on models.

Skills

Microsoft Azure Artificial Intelligence and Machine Learning

Terraform

Decision Making

Cloud Platforms (AWS, Azure, Google Cloud)

Infrastructure as Code

Containerization and Orchestration

DevOps Principles and Automation

Python Programming

Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn)

GenAI Orchestration Frameworks (LangChain, LangGraphcrewAI)

Data Preprocessing and Feature Engineering

Deep Learning and Natural Language Processing

Problem Solving Skills

Education

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

Job description

Must Have Skills

• Microsoft Azure Artificial Inteligence and Machine Learning (Strong)
• Terraform (Expert)
• Decision Making

Good To Have Skills

• Kubernetes (Capable)

Responsibilities

• Design develop and deploy machine learning AI solutions.
• Collaborate with data scientists, software engineers and product managers to integrate AI capabilities into applications.
• Operationalize AI and GenAI models ensuring scalability, reliability and performance.
• Design and implement GenAI solutions on cloud platforms such as Azure and AWS.
• Conduct experiments analyze results and iterate on models to improve performance.
• Stay current with advancements in AI/ML technologies and best practices.

Skills

• Proficiency in cloud platforms such as AWS, Azure or Google Cloud.
• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Experience with DevOps principles, automation and CI/CD.
• Proficiency in programming languages such as Python.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch or scikit-learn.
• Experience in building single agent and multi agent systems (agentic systems).
• Experience with genAI orchestration framework such LangChain LangGraphcrewAI etc.
• Experience with governance observability and evaluation tools (e.g., langfuse, langsmith).
• Knowledge of cloud platforms and services for AI/ML including Azure Machine Learning, AWS SageMaker and Google AI Platform.
• Familiarity with data preprocessing, feature engineering and model evaluation techniques.
• Understanding of deep learning, natural language processing and computer vision.
• Strong problem‑solving skills and attention to detail.

Qualifications

• Bachelors degree in Computer Science, Data Science or a related field.
• 7 years of experience in Machine Learning AI related field.
• Banking experience is a plus.

Remote Work: No

Employment Type: Full-time