Lead DS/ML Engineer

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Lisbon
Remote
7+ Years Experience
Big Data • Cloud • Healthtech • Software • Big Data Analytics
The software company powering the path to the world’s new medicines.
The Role
The Lead Data Scientist/Machine Learning Engineer will lead a team in developing AI solutions, build scalable language services such as NLP and NLU for SaaS products, optimize models, and automate testing and deployments.
Summary Generated by Built In

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.


At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.


As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.


Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.


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

#LI-Remote


Veeva’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 [email protected].

Top Skills

Python
The Company
HQ: Pleasanton, CA
6,000 Employees
Hybrid Workplace
Year Founded: 2007

What We Do

Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.

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