onsite
Senior AI Engineer - Apple
AI Engineer
Senior AI Engineer driving end‑to‑end AI solutions that deliver measurable business impact, leveraging Python, deep learning frameworks, and cloud MLOps to transform data into high‑value products.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade AI models using Python, TensorFlow, and PyTorch.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Implement MLOps pipelines on AWS/GCP, ensuring model reproducibility, monitoring, and continuous improvement.
- Analyze large datasets, engineer features, and optimize model performance for real‑world applications.
- Document model architecture, experiments, and results for internal knowledge sharing.
Requirements
- 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models.
- Proficiency in Python, deep learning libraries (TensorFlow, PyTorch), and cloud platforms (AWS, GCP).
- Hands‑on experience with MLOps tools (MLflow, Kubeflow, SageMaker) and CI/CD for ML.
- Strong analytical skills and ability to translate complex data into actionable insights.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningdeep learningtensorflowpytorchmlops