AI / ML Engineer

Training data pipeline: format conversion, deduplication, quality filtering
Supervised fine-tuning (SFT) with progressive model scaling
Offline evaluation framework design
Shadow-mode and staged A/B rollout with automated rollback
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning models to meet project requirements.
- Mentor junior team members and support their professional growth within the AI and machine learning domain.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.