About the Job:
Synechron is a leading digital transformation consulting firm focused on the financial services industry. We are seeking an MLOps Engineer to join our dynamic team in Riyadh, KSA. If you are passionate about creating cutting-edge software and thrive in fast-paced environments, we would love to meet you!
Job Overview:
As an MLOps Engineer, you will design, deploy, and maintain robust machine learning (ML) systems. You will bridge data science and DevOps, ensuring efficient model deployment, monitoring, and scalability in production.
Key Responsibilities:
- ML Pipeline Development: Build and maintain end-to-end pipelines for training, validation, and deployment.
- CI/CD Automation: Implement CI/CD workflows for ML models using tools like Jenkins, GitLab, or GitHub Actions.
- Cloud & Infrastructure: Manage cloud-based ML infrastructure (AWS/GCP/Azure), optimizing cost and performance.
- Containerization & Orchestration: Deploy models using Docker/Kubernetes and orchestrate workflows with Airflow/Kubeflow.
- Monitoring & Alerting: Track model performance, data drift, and system health with tools like Prometheus, Grafana, or Evidently.
- Collaboration: Work with data scientists to operationalize models and collaborate with DevOps teams to ensure system reliability.
- Security & Compliance: Ensure adherence to GDPR/CCPA and implement model governance/auditability.
- Model Retraining: Design automated retraining pipelines and version control (DVC, MLflow).
- Innovation: Stay updated on MLOps trends (e.g., serverless, feature stores) and drive best practices.
Technical Expertise:
- Proficient in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP/Azure).
- Experience with Docker/Kubernetes, CI/CD tools, and Infrastructure as Code (IaC) such as Terraform/CloudFormation.
- Knowledge of data engineering tools (e.g., Spark, Kafka) and monitoring frameworks.
- Deep understanding of the ML lifecycle, including model development, deployment, and scalability.
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Experience:
5+ years in MLOps, DevOps, or Data Engineering roles with a track record of production deployment.
Preferred Qualifications:
- Certifications in cloud (e.g., AWS ML, GCP ML Engineer) or ML frameworks.
- Experience with feature stores (e.g., Feast), model registries, and big data technologies (e.g., Hadoop).
- Experience with SQL and NoSQL databases (e.g., MongoDB, PostgreSQL).
- Contributions to open-source MLOps tools or publications in ML deployment.
Location: Riyadh, Saudi Arabia
Work Conditions: On-site, Full-time
Language Requirements: Arabic (mandatory)
