Cloud Engineer

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

Job summary

A leading technology consulting firm in Abu Dhabi is seeking a Machine Learning Engineer to design and deploy AI solutions. The ideal candidate will have over 7 years of experience in machine learning and AI, comprehensive skills in Azure and Terraform, and familiarity with banking domains. This full-time position does not offer remote work.

Qualifications

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

Responsibilities

• Design, develop, and deploy machine learning and AI solutions.
• Collaborate with teams to integrate AI capabilities into applications.
• Operationalize AI and GenAI models ensuring scalability and reliability.

Skills

Microsoft Azure

Artificial Intelligence and Machine Learning

Terraform

Decision Making

Kubernetes

Education

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

Tools

AWS

Google Cloud

Docker

TensorFlow

PyTorch

scikit-learn

Job description

Must have Skills: Microsoft Azure, Artificial Intelligence and Machine Learning (Strong), Terraform (Expert), Decision Making

Good To Have Skills: Kubernetes (Capable)

Job Description:

1. Design, develop, and deploy machine learning and AI solutions.
2. Collaborate with data scientists, software engineers, and product managers to integrate AI capabilities into applications.
3. Operationalize AI and GenAI models ensuring scalability, reliability, and performance.
4. Design and implement GenAI solutions on cloud platforms such as Azure and AWS.
5. Conduct experiments, analyze results, and iterate on models to improve performance.
6. 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 frameworks like LangChain, LangGraph, CrewAI, etc.
• Experience with governance, observability, and evaluation tools (e.g., Langfuse, LangSmith).
• Knowledge of cloud 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:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 7 years of experience in Machine Learning/AI-related fields.
• Banking experience is a plus.

Remote Work: No

Employment Type: Full-time