onsite
Senior AI Engineer - Packsize
AI Engineer
Senior AI Engineer responsible for designing, building, and deploying production‑grade AI agents, collaborating with data, analytics, and IT teams to integrate intelligent solutions into packaging automation platforms.
About the role
Key Responsibilities
- Design and develop scalable AI models and agents that address real‑world packaging challenges.
- Collaborate with Data & Analytics and IT teams to integrate AI solutions into existing production pipelines.
- Implement end‑to‑end MLOps workflows, including model training, validation, deployment, and monitoring.
- Optimize AI workloads for cloud environments, leveraging AWS services, Docker containers, and Kubernetes orchestration.
- Conduct performance tuning, A/B testing, and continuous improvement of deployed models.
Requirements
- 5+ years of professional experience in machine learning, deep learning, or AI engineering.
- Proficiency in Python and major frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with MLOps tools, CI/CD pipelines, and cloud platforms (AWS preferred).
- Strong understanding of containerization (Docker) and orchestration (Kubernetes) for production deployments.
- Excellent problem‑solving skills and ability to work cross‑functionally in a hybrid team environment.
Skills
pythontensorflowpytorchmachine learningmlopsawsdockerkubernetes