This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
You’ll be part of the Applied Intelligence organization, working alongside product, platform, and infrastructure teams. We power next-gen experiences through a unified AI stack accelerating time-to-value for internal users and building intuitive solutions for consumers and merchants. You’ll be joining a team that values experimentation, scalability, and operational excellence in AI systems.
Your Day to Day
- Fine-tune and optimize advanced machine learning and foundational models.
- Build reusable training pipelines and inference systems for production-grade deployment.
- Collaborate with cross-functional teams to integrate models into product experiences and backend workflows.
- Continuously monitor, test, and improve model performance in live environments.
- Mentor junior engineers and contribute to team-wide knowledge sharing.
- Participate in internal forums, technical design reviews, and possibly external publications.
What You Need to Bring
- Bachelor’s degree or equivalent, with at least 12–15 years of relevant experience.
- Strong hands-on experience with ML frameworks like PyTorch, TensorFlow, or Hugging Face.
- Experience fine-tuning large models (e.g., LLMs, vision-language models) using SFT, LoRA, RLHF, etc.
- Proven experience deploying ML models on cloud platforms such as AWS, GCP, or Azure.
- Deep knowledge of MLOps practices and tooling (e.g., model registries, CI/CD for ML).
Our Benefits:
Any general requests for consideration of your skills, please