Veeva21mo ago

DS/ML Engineer

Spain - Barcelona,BarcelonaRemoteFull-Timemid

OtherMachine Learning EngineerData

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Quick Summary

Requirements Summary

MLflow, Kubeflow, or end-to-end automation with SageMaker services Ability to mentor others and work independently Strong communication skills Production experience with any of the

Technical Tools

OtherMachine Learning EngineerData

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 $3B 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

At Veeva Link, we're building the intelligence layer for life sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. Our core belief: combining the highest quality data with state-of-the-art software delivers immense value.

We believe execution matters most. Progress comes from speed, accuracy, and quality in what we build every day. Our engineering approach emphasizes clear product definitions leading to meticulous technical designs. We leverage a modern tech stack to deliver inherently reliable applications and a great user experience.

Our work spans two critical areas:

Data-Driven Insights

We develop sophisticated applications that map and understand global scientific and medical expertise, providing high-impact insights and AI-generated intelligence. Engineers here tackle complex data modeling, entity resolution, and advanced machine learning.

Intelligent Business Workflows

We engineer workflow applications powered by our data, using AI to find patterns and route information precisely. This involves designing scalable pipelines and intelligent automation.

Why Join Veeva Link?

Build products that create significant positive impact in global healthcare.

Work in an environment led by a CEO with an engineering background.

Work Anywhere means you can work in an office or at home on any given day.

Empowered Autonomy: Tech decisions are made within teams, giving engineers significant autonomy.

Collaborate with highly skilled teammates who take pride in achieving great outcomes. Excellence matters.

This role is critical in making ML and AI services to power engaging user experiences

Working from end-to-end on live production services. Not just modeling, not theoretical

The work you do will directly impact our customers' day-to-day experiences

Define the best approach to solve problems with ML. Build data and model pipelines

Test and Validate services. Deploy and monitor solutions for impact

Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products

Help develop and groom an experiment backlog

Build models that solve real-world problems

Optimize models for production throughput and uptime requirements

Automate deployments, testing, and monitoring (MLOps)

5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services

Expert in Machine Learning, Modeling, and development with Python

Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services

Ability to mentor others and work independently

Strong communication skills

Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex

Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes

Bachelor’s degree or higher in computer science, engineering, or information systems