Position Overview | نظرة عامة على الوظيفة
Our team is expanding its footprint in North Carolina to meet the growing demand for intelligent automation and large-scale data processing. We are seeking a highly skilled Senior MLOps Engineer who understands that artificial intelligence is only as good as the infrastructure it runs on. This role is at the intersection of data science and software engineering, ensuring that complex models transition seamlessly from research environments to high-performance production systems. نحن نوسع تواجدنا في كارولاينا الشمالية لتلبية الطلب المتزايد على الأتمتة الذكية ومعالجة البيانات على نطاق واسع. نحن نبحث عن مهندس أول لعمليات تعلم الآلة (MLOps) يدرك أن الذكاء الاصطناعي يكون جيدًا فقط بقدر جودة البنية التحتية التي يعمل عليها. يقع هذا الدور في تقاطع علم البيانات وهندسة البرمجيات.
Key Responsibilities | المسؤوليات الرئيسية
- Infrastructure Design: Architect and maintain robust cloud infrastructure for machine learning workloads using AWS, Azure, or GCP.
- CI/CD for ML: Develop and optimize automated deployment pipelines specifically tailored for the unique lifecycle of machine learning models.
- Performance Scaling: Monitor and scale AI systems to handle massive datasets and high-concurrency requests without latency issues.
- Collaborative Engineering: Partner with Data Scientists to containerize models and with DevOps teams to integrate ML pipelines into existing architectures.
Requirements | المتطلبات
- Solid background as an MLOps, DevOps, or Software Engineer with a focus on AI/ML delivery.
- Expertise in Python, shell scripting, and infrastructure-as-code (Terraform or CloudFormation).
- Hands-on experience with Docker for containerization and Kubernetes for orchestration.
- Familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn and tools like MLflow or DVC.
- Strong problem-solving skills and the ability to work in a collaborative, agile environment.
- Professional fluency in English; Arabic language skills are highly valued.
How to Apply | كيفية التقديم
If you have the technical expertise and a passion for building the future of AI infrastructure, we would love to connect. Please submit your resume and a brief overview of your relevant projects to talent.acquisition@nc-tech-careers.com with the subject line 'Senior MLOps Engineer - North Carolina'.
إذا كنت تمتلك الخبرة التقنية والشغف ببناء مستقبل البنية التحتية للذكاء الاصطناعي، فنحن نود التواصل معك. يرجى تقديم سيرتك الذاتية إلى البريد الإلكتروني المذكور أعلاه مع ذكر عنوان الوظيفة في موضوع الرسالة.