Lead Data Scientist/Machine Learning Engineer

2 semanas atrás


Lisboa, Lisboa, Portugal Veeva Systems Tempo inteiro
Transforming Life Sciences with AI

Veeva Systems is a pioneering force in industry cloud, empowering life sciences companies to bring therapies to patients faster. As a rapidly growing SaaS company, we've surpassed $2B in revenue and continue to expand our reach. Our values drive our mission: Do the Right Thing, Customer Success, Employee Success, and Speed. As a public benefit corporation, we're committed to balancing the interests of customers, employees, society, and investors.

The Role

Lead the development of impactful AI solutions that drive innovation and help our clients bring life-changing products to market faster than ever before. As a Lead Data Scientist/Machine Learning Engineer, you'll spearhead complex problem-solving and bring AI-powered features to life in large-scale software products.

Key Responsibilities
  • Lead a cross-functional team to build scalable language services in NLP, NLU, and NLG for live SaaS products
  • Develop models that solve real-world problems and optimize them for production throughput and uptime requirements
  • Automate deployments, testing, and monitoring (MLOps) to ensure seamless product delivery
Requirements
  • 8+ years of experience in developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services
  • 3+ years of leadership experience in producing data and analytics software products
  • Expertise in Machine Learning, Modeling, and development with Python
  • Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes
Nice to Have
  • Production experience with GenAI, LLMs, Recommendation Engines, or AWS offerings for AI and ML
  • Bachelor's degree or higher in computer science, engineering, or information systems

Veeva's headquarters is located in the San Francisco Bay Area, with offices in over 15 countries worldwide. As an equal opportunity employer, we're committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger, and we value people for the individuals they are and the contributions they can bring to our teams.



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