The Role
Lead the charge in building impactful AI solutions. Drive the development of innovative services that help our clients bring life-changing products to market faster than ever before. Join Link Engineering as a Lead Data Scientist/Machine Learning Engineer to spearhead complex problem-solving and bring AI-powered features to life in large-scale software products.
What You’ll Do
Lead a cross-functional team to build scalable language services in the areas of NLP, NLU, and NLG for live SaaS products Build models that solve real-world problems Help develop and groom an experiment and product feature backlog Optimize models for production throughput and uptime requirements Automate deployments, testing, and monitoring (MLOps)
Requirements
8+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services 3+ years of leading teams to produce data and analytics software products Expert in Machine Learning, Modeling, and development with Python Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes Strong communication skills
Nice to Have
Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex Bachelor’s degree or higher in computer science, engineering, or information systems
#RemoteUKVeeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at .