remote
Principal AIML Architect - 3Pillar Global
Software Engineer
Lead the design and delivery of AI‑native products and intelligent agents, driving end‑to‑end ML solutions on cloud platforms with Python, deep learning frameworks, and MLOps best practices.
About the role
Key Responsibilities
- Architect and oversee the full lifecycle of AI/ML solutions, from data ingestion to model deployment, ensuring scalability and reliability on cloud platforms.
- Collaborate with cross‑functional teams to translate business requirements into robust ML pipelines and intelligent agent architectures.
- Lead the adoption of best practices in MLOps, including CI/CD, model monitoring, and automated retraining workflows.
- Mentor and coach engineering teams on advanced ML techniques, model interpretability, and performance optimization.
- Evaluate and integrate cutting‑edge deep learning frameworks (PyTorch, TensorFlow) and NLP models to solve complex domain problems.
Requirements
- 10+ years of experience in AI/ML engineering with a proven track record of delivering production‑grade models.
- Deep expertise in Python, deep learning, NLP, and cloud services (AWS, GCP, or Azure).
- Hands‑on experience with MLOps tools (Kubeflow, MLflow, SageMaker) and CI/CD pipelines.
- Strong analytical skills and ability to communicate complex technical concepts to non‑technical stakeholders.
- Leadership experience, preferably in a principal or architect role within AI/ML teams.
Skills
pythonmachine learningdeep learningnatural language processingawsmlops