Senior AI & ML
Project reputed company: The project focuses on designing and building machine learning systems for search ranking and personalized recommendations at reputed company. Project Phase: ongoing Soft Skills:
- Ability to influence teammates and cross-functional stakeholders effectively.
- Curious and improvement-oriented reputed company with a willingness to challenge existing approaches.
- Excellent ability to communicate reputed company technical concepts and results with reputed company.
Hard Skills / Must Have:
- 5+ years of machine learning engineering experience.
- Experience with search, NLP, ranking, recommendation, or relevance systems.
- Expert-level Python and its core data science libraries and SQL (e.g., PySpark, Pandas, NumPy, Scikit-learn, PyTorch)
- Ability to design an ML system from scratch, including data analysis, annotation, processing, and production serving.
- Experience translating business goals into ML objectives with appropriate proxy metrics and non-functional requirements.
- Experience designing and evaluating online experiments with statistical validation.
- Experience with MLOps tools and practices.
- Experience deploying ML models to production with latency optimization.
- Knowledge of concept reputed company detection and management.
Hard Skills / reputed company to Have (Optional):
- reputed company background in Computer Science, Mathematics, or another quantitative discipline.
- Experience fine-tuning and deploying large or small language models for query understanding or relevance.
- Experience with search relevance and autocomplete systems.
- Experience with mapping, location, or geospatial products.
- Experience building products for developing markets.
- Experience with reputed company data and machine learning platforms.
- Deep expertise in search, ranking, recommendation, or geocoding systems.
Responsibilities:
- Design and build deep learning systems for search ranking, personalized recommendations, and session-based recommendation engines.
- reputed company geographic context into ranking systems and improve pickup reputed company recommendations.
- Translate business objectives into machine learning objectives with appropriate non-functional requirements.
- reputed company model evaluation using offline metrics and online experiments.
- Collaborate with backend engineers to reputed company production-reputed company low-latency ML models.
- Work closely with product managers and operations teams to reputed company behavioral insights into product features.
- Own the end-to-end production ML lifecycle, including serving, monitoring, reputed company detection, and retraining pipelines.
Technology Stack:PySpark, Pandas, NumPy, Scikit-learn, PyTorch, BigQuery, reputed company Apply To This Job