onsite
AI Engineer - OneMagnify
AI Engineer
AI Engineer building reliable, scalable machine learning and generative AI solutions on cloud platforms, driving production‑ready systems that enhance customer experiences and business outcomes.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines for predictive and generative AI models.
- Collaborate with data scientists and product teams to translate business requirements into scalable AI solutions.
- Implement model monitoring, versioning, and continuous integration/continuous deployment (CI/CD) workflows using Docker, Kubernetes, and AWS services.
- Optimize model performance and resource utilization for production workloads.
- Document architecture, code, and best practices to enable knowledge sharing across the organization.
Requirements
- Strong proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or Hugging Face.
- Hands‑on experience with generative AI models (e.g., GPT, Stable Diffusion) and deployment on cloud platforms.
- Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).
- Experience with CI/CD pipelines, model monitoring, and MLOps tooling.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learninggenerative aiawsdockerkubernetesnlp