onsite
AI Engineering Lead - Qodia
Software Engineer
Lead AI engineering initiatives, designing and deploying scalable ML solutions on AWS, while mentoring a cross‑functional team and driving innovation in deep learning and data pipelines.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI/ML pipelines using Python and deep learning frameworks.
- Design scalable solutions on AWS (SageMaker, Lambda, ECS) to support production workloads.
- Lead a multidisciplinary team, providing technical guidance and fostering a culture of continuous improvement.
- Collaborate with product, data, and infrastructure teams to translate business requirements into robust AI features.
- Ensure model quality, monitoring, and compliance with data privacy standards.
Requirements
- 5+ years of experience in AI/ML engineering with a strong Python background.
- Proven track record deploying models at scale on AWS.
- Deep knowledge of deep learning architectures (CNNs, RNNs, Transformers).
- Excellent communication skills and experience leading technical teams.
- Strong problem‑solving abilities and a passion for emerging AI technologies.
Skills
pythonmachine learningdeep learningaws