onsite
Senior AI Engineer - Tiger Analytics Inc.
AI Engineer
Lead the design and deployment of advanced AI solutions, applying machine learning and deep learning techniques on large datasets using Python, TensorFlow/PyTorch, and cloud platforms.
About the role
Key Responsibilities
- Architect, develop, and productionize AI models that solve complex business problems for clients.
- Collaborate with data engineers, product managers, and domain experts to define project requirements and success metrics.
- Implement end‑to‑end pipelines, including data preprocessing, model training, evaluation, and deployment on cloud infrastructure.
- Optimize model performance, scalability, and reliability using best practices in software engineering and MLOps.
- Mentor junior engineers, conduct code reviews, and promote knowledge sharing across the team.
Requirements
- 5+ years of professional experience in machine learning or AI engineering.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience building, training, and deploying models on cloud platforms (e.g., AWS, GCP, Azure).
- Solid understanding of data pipelines, version control, containerization (Docker) and CI/CD for ML workflows.
- Excellent problem‑solving skills and ability to communicate technical concepts to non‑technical stakeholders.
Skills
pythontensorflowpytorchmachine learningdeep learningaws