MLOps Engineer

February 2

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Aspire, Jordan

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Aspire is reimagining and redefining what being a technology partner in the region means. With a commitment to exceeding expectations and providing exceptional quality work, Aspire consists of a group of technology experts with diverse backgrounds and expertise. The company offers a wide range of digital consulting and technology services, including digital strategy, automation, and cybersecurity solutions, while also focusing on social responsibility initiatives. Aspire serves various sectors such as financial services, healthcare, media, e-commerce, and retail, positioning itself as a trusted digital partner across the MENA region and the US.

Mobile Development • Software Development • Professional Services • QA & Testing • Data Engineering

201 - 500 employees

Founded 2002

💳 Fintech

🔒 Cybersecurity

📋 Description

• Manage and optimize ML pipelines, ensuring performance, security, and reliability. • Automate tasks, integrate systems, and provide ongoing support. • Design, build, and maintain scalable ML pipelines for training, testing, and deploying models. • Implement CI/CD workflows for ML models integrated 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive long-term total compensation with salary and performance-based bonus. • Reward philosophy that expands beyond direct compensation. • Opportunity to work and learn from great minds. • Technical and non-technical training opportunities. • Market exposure by working with international tech leaders. • Nursery reimbursement benefit. • Attendance at virtual and onsite international tech conferences. • Exposure to an IT environment adhering to rigorous security and compliance standards defined by ISO/SOC.