ML Engineer
PinnacleU (company site, opens in a new tab)Fresher JobsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end matchmaking recommendation system leveraging diverse user data including bios, preferences, photos, conversations, and feedback.
- Develop and deploy models such as LLM rankers, transformer recommenders, and two-tower retrieval systems focusing on reciprocal recommendation challenges.
- Build and maintain data pipelines and evaluation frameworks using Python, SQL, and GCP tools to improve match rates and create happy matches.
Minimum Requirements
- Experience Required: Up to 5 years in ML engineering or related roles.
- Proficiency in Python, SQL, and working with cloud platforms like Google Cloud Platform (Vertex AI, GCS, Cloud SQL).
- Experience with ML frameworks such as PyTorch and familiarity with recommendation system architectures (e.g., transformer models, two-tower retrieval).
- Ability to handle multiple data types: structured data, images (embeddings), voice transcripts, and user feedback data.
Ideal Candidate Profile
- Strong background in advanced recommendation systems, especially reciprocal and supply-aware ranking techniques.
- Capability to independently research academic papers and rapidly implement production-ready ML systems.
- Experience working with multi-modal data (text, images, voice) and integrating these into end-to-end ML pipelines in a fast-paced environment.