Cloud / AI Engineer

ATRIBS; United Arab Emirates; On-site; AED 30,000 - 50,000; Full time

Job summary

A leading company in the UAE seeks an experienced Machine Learning Engineer to design and deploy cutting-edge AI solutions. Candidates should possess a relevant bachelor's degree and over 7 years of experience in the field. The role includes collaborating with teams to operationalize AI models and staying current with industry advancements.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 7+ years of experience in Machine Learning, AI, or related fields.

Responsibilities

• Design, develop, and deploy machine learning and AI solutions.
• Collaborate to integrate AI capabilities into applications.
• Operationalize AI models for scalability and performance.

Skills

Proficiency in cloud platforms

Experience with IaC tools

Knowledge of containerization

Experience with DevOps principles

Proficiency in Python

Experience with ML frameworks

Experience in building agent systems

Familiarity with governance tools

Knowledge of data preprocessing

Understanding of NLP and computer vision

Strong problem-solving skills

Education

Bachelor's degree in Computer Science

Job description

Bachelor of Technology/Engineering in Computers

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Responsibilities:

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:

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

Qualifications:

1. Bachelor’s degree in Computer Science, Data Science, or a related field.
2. 7+ years of experience in Machine Learning, AI, or related fields.

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