Abu Dhabi, United Arab Emirates (On-site)

DEVOPS Engineer

2 Months ago • 7 Years +

Devops

Job Description

This role involves designing, developing, and deploying machine learning and AI solutions. The DEVOPS Engineer will collaborate with data scientists, software engineers, and product managers to integrate AI capabilities into applications. Key responsibilities include operationalizing AI and GenAI models for scalability and performance, and implementing GenAI solutions on cloud platforms like Azure and AWS. The role also requires conducting experiments, analyzing results, and staying updated with AI/ML advancements.

Good To Have:

Banking Experience

Must Have:

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.

Add these skills to join the top 1% applicants for this job

game-texts

aws

azure

terraform

data-science

scikit-learn

pytorch

deep-learning

computer-vision

ci-cd

docker

kubernetes

python

tensorflow

machine-learning

Job Description

Must have Skills

Terraform (Capable), Docker (Strong), Python (Strong), TensorFlow, LangChain

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, LangGraph,crewAI, 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.