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DSML Engineer

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

Work set-up:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Spain

Offer summary

Qualifications:

Minimum 5 years of experience developing data and analytics products such as language services., Expertise in Machine Learning, Modeling, and Python development., Proficiency in MLOps platforms like MLflow, Kubeflow, or SageMaker., Bachelor's degree or higher in computer science, engineering, or related fields..

Key responsibilities:

Develop and deploy ML and AI services to enhance user experiences.
Work end-to-end on live production ML models and pipelines.
Collaborate within cross-functional teams to build scalable language services.
Optimize and automate model deployment, testing, and monitoring processes.

Veeva Systems Computer Software / SaaS SME http://www.veeva.com

5001 - 10000 Employees

See all jobs

Job description

Veeva Systems is a missiondriven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastestgrowing 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. Were 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, were 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 stateoftheart 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:

DataDriven Insights

We develop sophisticated applications that map and understand global scientific and medical expertise, providing highimpact insights and AIgenerated 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.

What You’ll Do
This role is critical in making ML and AI services to power engaging user experiences
Working from endtoend on live production services. Not just modeling, not theoretical
The work you do will directly impact our customers daytoday 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 crossfunctional 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 realworld 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 endtoend 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
Knowledge of relevant regulations in AIML and incorporating compliance into MLOps processes
Bachelor’s degree or higher in computer science, engineering, or information systems
#LIRemote

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 .