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2 weeks ago
We are seeking an experienced AI Engineer to join our team. The ideal candidate will have a strong background in software engineering, data engineering, or AI infrastructure and proficiency in Python programming and Linux systems.
Key Responsibilities:- Design and develop AI/ML workloads by setting up and maintaining development and production infrastructure for scalability and performance.
- Create robust data ingestion and transformation pipelines to support AI/ML model training and inference at scale.
- Collaborate with data scientists to convert AI/ML models into deployable services following MLOps best practices.
- Integrate AI solutions with existing platforms through APIs, microservices, or other integration methods.
- Develop APIs or lightweight UIs to make AI capabilities accessible to business users and partners.
- Work closely with cross-functional teams to implement models and monitor outcomes.
- Proficiency in Python programming and Linux systems.
- Strong background in software engineering, data engineering, or AI infrastructure.
- Hands-on experience with cloud platforms (e.g., Azure) and containerization tools (Docker, Kubernetes).
- Familiarity with building RESTful APIs and/or lightweight front-end tools for AI interfaces.
- Solid understanding of MLOps practices and tools (e.g., MLflow, FastAPI).
- Excellent communication skills to collaborate across technical and business teams.
- Opportunity to work on challenging projects and contribute to the growth of AI technology.
- Collaborative and dynamic work environment with experienced professionals.
- Professional development opportunities to enhance your skills and knowledge.
- TensorFlow and PyTorch frameworks are used in this role.
- The ideal candidate should be familiar with Kubernetes, Docker, and Python Programming.
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