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DS/ML Engineer

extra holidays - extra parental leave - work from anywhere - fully flexible

Remote:

Full Remote

Contract:

Full time

Work from:

Spain

Offer summary

Qualifications:

5+ years in developing data analytics products, Expertise in Machine Learning with Python, Experience in MLOps and platform such as MLflow or SageMaker.

Key responsabilities:

Build scalable language services for live SaaS products
Develop models to solve real-world problems
Automate deployments, testing, and monitoring

Veeva Systems SME https://www.veeva.com/

5001 - 10000 Employees

See more Veeva Systems offers

Job description

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

Turn your data science skills into tangible impact! Develop innovative services that make a difference. We're a rapidly growing company looking for teammates to solve complex problems and bring solutions to life in large-scale software products.

The Veeva Link engineering team seeks Data Scientists and Machine Learning Engineers to participate in all aspects of building and operating AI language features that help our global clients bring products to market faster.

What You’ll Do

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)

Requirements

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

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

#RemoteSpain

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 talent_accommodations@veeva.com.