Responsible for operationalizing AI models, ensuring scalable, reliable, and automated deployment of ML and LLM solutions across environments.
Responsibilities: -
- Build and manage MLOps and LLMOps pipelines
- Automate model deployment using CI/CD pipelines
- Monitor model performance, drift, and retraining cycles
- Manage model serving frameworks (e.g., vLLM, TGI, Ray Serve)
- Implement experiment tracking and model versioning
- Ensure governance, reproducibility, and compliance
Requirements: -
Must have minimum 4 years of experience
Experience with Kubernetes, Docker
CI/CD tools (GitLab, Jenkins, Azure DevOps)
ML frameworks (TensorFlow, PyTorch)
Knowledge of LLM serving and optimization
Skills Required
- Minimum 4 years of experience
- Experience with Kubernetes and Docker
- Experience with CI/CD tools (GitLab, Jenkins, Azure DevOps)
- Experience with ML frameworks (TensorFlow, PyTorch)
- Knowledge of LLM serving and optimization
What We Do
As a leading AI and Data Analytics provider in the MENA region, DataScience Middle East specializes in transforming raw data into actionable insights, enabling governments, financial institutions, and telecommunication companies to drive innovation and achieve meaningful business outcomes. Founded in 2015, our expertise lies in developing cutting-edge AI solutions and fostering a deep mastery of analytics. With a focus on delivering impactful, scalable technologies, we are committed to helping organizations harness the power of data to make informed decisions that shape the future. Our core offerings include: 1. Advanced AI & Machine Learning Solutions: Custom-built to address specific industry challenges. 2. Data Management & Analytics: Enabling organizations to unlock the full potential of their data. 3. Compliance & Regulatory Solutions: Ensuring organizations meet industry standards and regulatory requirements, including data privacy, financial compliance, and AI governance. We help businesses navigate complex regulatory landscapes by implementing secure, transparent, and ethical AI and data management practices. 4. End-to-End Consulting: Tailored advisory services that guide clients through every step of their data transformation journey. At DataScience Middle East, we pride ourselves on driving digital transformation across various industries by providing innovative, reliable, and highly efficient AI-driven solutions. With our dedicated team and strong partner network, we empower our clients to excel in a rapidly evolving technological landscape.
