onsite
Mid AI/ML Engineer - Aily Labs SLU
ML Engineer
We are looking for a Mid‑level AI/ML Engineer to design, develop, and deploy machine‑learning models and pipelines, leveraging Python, TensorFlow/PyTorch, and cloud services to solve real‑world problems.
About the role
Key Responsibilities
- Design, implement, and optimize machine‑learning models for classification, regression, and computer‑vision tasks.
- Develop end‑to‑end data pipelines, from data ingestion and preprocessing to feature engineering and model serving.
- Collaborate with product and data teams to translate business requirements into scalable AI solutions.
- Deploy and monitor models in cloud environments (AWS), ensuring reliability, performance, and cost efficiency.
- Conduct experiments, perform hyper‑parameter tuning, and document results to drive continuous improvement.
Requirements
- 3+ years of professional experience in Python‑based machine‑learning development.
- Strong knowledge of deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with cloud platforms (AWS) and containerization (Docker, Kubernetes) for model deployment.
- Proficiency in data manipulation, feature engineering, and model evaluation techniques.
- Ability to work autonomously in a fast‑paced, collaborative environment and communicate technical concepts clearly.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws