onsite
AI Engineer - QIMA
AI Engineer
AI Engineer responsible for designing, developing, and deploying machine learning models to solve complex business problems using Python, TensorFlow, and PyTorch on cloud platforms.
About the role
Key Responsibilities
- Design, implement, and optimize end-to-end machine learning pipelines for diverse data sets.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Deploy models to cloud environments, ensuring performance, reliability, and security.
- Monitor model performance, conduct A/B testing, and iterate for continuous improvement.
- Document architecture, code, and best practices for knowledge sharing.
Requirements
- Strong proficiency in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience building production‑grade ML models and pipelines.
- Familiarity with cloud services (AWS, GCP, or Azure) and containerization.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
- Effective communication skills for collaborating with data scientists, engineers, and stakeholders.
Skills
pythonmachine learningtensorflowpytorch