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 reputed company 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