MLOps Engineer
Amman, Jordan
Aspire, Jordan
As an MLOps Engineer at Aspire, you will manage and optimize ML pipelines, ensuring their performance, security, and reliability. You will automate tasks, integrate systems, and provide ongoing support to maintain seamless functionality and optimal performance.
What you’ll do
- Design,
build, and maintain scalable ML pipelines for training, testing, and
deploying models.
- Implement
CI/CD workflows for ML models and integrate them with existing
infrastructure.
- Develop
and maintain monitoring, logging, and alerting systems for ML models in
production.
- Ensure
reproducibility, versioning, and governance of ML models and datasets.
- Optimize
model serving infrastructure to improve latency, scalability, and
cost-efficiency.
- Automate
feature engineering, model retraining, and performance evaluation
workflows.
- Ensure
security, compliance, and best practices in handling ML artifacts and
sensitive data.
- Work
with Kubernetes, Docker, and cloud services (AWS, GCP, or Azure) for
scalable model deployment.
What you’ll need
- 3+ years of experience in a similar role.
- Bachelor’s degree in software engineering or any IT-related field.
- Strong
proficiency in Python and ML frameworks like TensorFlow, PyTorch, or
Scikit-Learn.
- Experience
with ML model deployment using Kubernetes, Docker, or serverless
architectures.
- Hands-on
experience with CI/CD tools such as GitHub Actions, Jenkins, or ArgoCD.
- Familiarity
with data versioning and model tracking tools like MLflow, DVC, or
Kubeflow.
- Experience
in cloud-based ML solutions (AWS SageMaker, GCP Vertex AI, or Azure ML).
- Knowledge
of observability tools such as Prometheus, Grafana, and ELK stack.
- Understanding
of infrastructure as code (Terraform, CloudFormation) and configuration
management (Ansible, Helm).
- Excellent
problem-solving and communication skills.
- Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar
Why Aspire
In addition to a competitive long-term total compensation with salary and performance-based bonus, we have a reward philosophy that expands beyond this.
- Be part of a (Remote is here-to stay) organization
- Work and learn from great minds
- Explore new opportunities to learn and grow everyday by attending technical and nontechnical training
- Get market exposure by working with international tech leaders
- Nursery reimbursement benefit
- Attend virtual and onsite international tech conference
- Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO/SOC.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible Architecture AWS Azure CI/CD CloudFormation Docker ELK Engineering Feature engineering GCP GitHub Grafana Helm Jenkins Kubeflow Kubernetes Machine Learning MLFlow ML models MLOps Model deployment Pipelines Python PyTorch SageMaker Scikit-learn Security TensorFlow Terraform Testing Vertex AI
Perks/benefits: Competitive pay
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.