onsite
AI Engineer - Nexus Black
AI Engineer
We are seeking an AI Engineer to design, develop, and deploy machine‑learning models and data pipelines, leveraging Python, API integration, CI/CD automation, and cloud infrastructure to deliver scalable AI solutions.
About the role
Key Responsibilities
- Design and implement end‑to‑end AI pipelines, including data ingestion, preprocessing, model training, and serving.
- Develop robust API integrations to expose model inference and data services to internal and external consumers.
- Build and maintain CI/CD workflows that automate testing, containerization, and deployment of AI components.
- Architect and manage cloud resources (e.g., AWS, GCP, Azure) to ensure scalable, secure, and cost‑effective model hosting.
- Create and optimize data models and embedding techniques to improve relevance and performance of AI solutions.
Requirements
- Strong proficiency in Python and experience with machine‑learning libraries such as TensorFlow, PyTorch, or scikit‑learn.
- Hands‑on experience building and consuming RESTful APIs and integrating them into AI workflows.
- Proven track record implementing CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.
- Solid understanding of cloud platforms and services for AI/ML workloads, including compute, storage, and networking.
- Experience with data modeling, vector embeddings, and techniques for high‑dimensional data representation.