AI/ML Engineer

4 weeks ago

Kochi, India Nyburs Full time

About Nyburs Nyburs is building a trustable, creator-first social platform focused on high quality conversations and media. We are hiring a hands-on Senior AI/ML Engineer to own the recommendation problem end to end. ⚠️ Important: We are only accepting candidates who have prior hands-on experience building recommendation systems in production. What you will build End-to-end recommendation pipelines: candidate generation, reranking, and post-ranking rules Multi-modal feature extraction for images, short videos, and audio to power retrieval and ranking Systems for offline training and online serving that meet product latency and scalability targets Experimentation frameworks to measure impact and guardrails to preserve fairness and creator exposure Production-grade monitoring and model lifecycle processes Key responsibilities Design, implement, and own recommender models and ML infrastructure Translate product goals into modeling objectives and measurable metrics Productionize multi-modal pipelines and low-latency serving solutions Collaborate with product, backend, and data engineering on feature ingestion, training pipelines, and deployment Run experiments, measure uplift, detect drift, and iterate on models Implement fairness, diversity, and safety guardrails in ranking Mentor and elevate junior engineers Must have 4+ years hands-on experience building production ML systems Prior experience building and deploying recommendation systems is mandatory (must have worked on recommender systems in the past 2-3 years) Strong software engineering skills and comfort building production services and data pipelines Practical experience with embeddings, approximate nearest neighbor retrieval, or other retrieval techniques Experience with one or more deep learning frameworks and working with multi-modal data Solid understanding of recommender evaluation metrics such as , , NDCG, CTR, watch time, and uplift measurement Experience deploying models to production and designing for low latency Strong product sense and ability to align technical work with business metrics Nice to have Experience with sequential or transformer-based recommenders or graph-based recommenders Familiarity with streaming ingestion and feature stores Background in social feeds, short form video, or creator platforms Advanced degree in ML, CS, or related field Knowledge of data science practices and tools, including statistical modeling, feature engineering, and experimentation analysis Tech signals we value Production ML and MLOps experience (model serving, monitoring, CI/CD) Practical knowledge of vector/embedding retrieval and scalable retrieval architectures Familiarity with model evaluation, A/B testing, and metrics-driven iteration Compensation and benefits Employee Stock Ownership Plans (ESOPs) Comprehensive benefits package Learning budget and conference support Opportunity to shape product and influence ML roadmap from day one Employment type We welcome applications for contractual positions. How to apply Send your CV, a short note about a recommender project you built, and links to code or demos to with subject: Senior AI/ML Engineer - Recs

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