Senior AI, ML

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Bonapolia

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.

📋 Description

• Design and build deep learning systems for search ranking, personalized recommendations, and session-based recommendation engines. • Integrate geographic context into ranking systems and improve pickup point recommendations. • Translate business objectives into machine learning objectives with appropriate non-functional requirements. • Lead model evaluation using offline metrics and online experiments. • Collaborate with backend engineers to deploy production-ready low-latency ML models. • Work closely with product managers and operations teams to transform behavioral insights into product features. • Own the end-to-end production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines.

🎯 Requirements

• 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 drift detection and management.

🏖️ Benefits

• Flexible work arrangements