onsite
Applied AI/ML Lead
Software Engineer
Lead the design and deployment of AI/ML solutions for A/B testing platforms, guiding a team to build intelligent agents that optimize experiment outcomes using Python, TensorFlow, and advanced statistical methods.
About the role
Key Responsibilities
- Architect and implement AI-driven agents that automate A/B test design, execution, and result interpretation.
- Lead a cross‑functional team of data scientists and engineers, providing technical direction and mentorship.
- Develop and maintain scalable machine‑learning pipelines using Python, TensorFlow, and PyTorch.
- Collaborate with product and analytics teams to define experiment metrics and ensure statistical rigor.
- Monitor model performance in production, conduct root‑cause analysis, and iterate improvements.
Requirements
- 5+ years of hands‑on experience in machine learning, deep learning, and AI system development.
- Proficiency in Python and major ML frameworks such as TensorFlow or PyTorch.
- Strong background in A/B testing methodology, experimental design, and statistical analysis.
- Demonstrated ability to lead technical teams and deliver production‑grade ML solutions.
- Excellent problem‑solving skills and ability to translate business goals into scalable AI models.
Skills
pythonmachine learningtensorflowpytorchdata analysis