Senior Machine Learning Engineer (Remote)

Location: Paris (75)

*** Mention DataYoshi when applying ***

Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.

The Role

Veeva Link is a pillar in the Veeva system landscape that envisions Connecting life sciences and key people to improve research and care.Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients to get their most urgent care sooner.

Your ML work in the Veeva data product team will focus on deduplicating/linking different data sources, especially disambiguating persons. Our ML models are trained by data captured by a massive group of over 1000 curators. ML models complement the curational pipeline and scale our solutions to different regions, languages, and therapeutics areas.

What You'll Do

    • Collaborate with data scientists, data engineers, product-, and operation-teams to improve data quality and coverage by employing ML and AI techniques
    • Technical lead for ML-Ops and experiment management systems
    • Develop software and infrastructure for link data product team by a data-driven approach
    • Collaborate with data quality teams to build data annotation/evaluation pipelines, monitoring, and dashboards
    • Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
    • Use ML, NLP, NER, entity disambiguation, and other statistical models to classify and link data


    • Professional in ML Operationalization
    • 2+ years of experience as a Machine Learning Engineer or relevant jobs.
    • 4+ years of experience in professional software development
    • 2+ years of experience in cloud development in AWS
    • Solid programming skills in Python
    • Great skills in Data Engineering and big data technologies such as Spark
    • Mastery with data pipelines and specially ML-driven streaming
    • Up-to-Date knowledge of latest ML innovations and frameworks
    • Strong analytical skills and data curiosity
    • Good English and strong communication skills

Nice to Have

    • Leadership skills and a solid network to help in hiring and growing the team
    • Experience in life/health science industry, notably pharma
    • Experience in containerization, Kubernetes and relevant distributed computing for training and inference
    • Solid programming skills in Java, C# or similar languages
    • Experience with NoSQL databases, especially MongoDB
    • Familiarity with architectural choices, particularly for ML systems
    • Experience in deep learning frameworks, especially PyTorch or TensorFlow
    • Familiarity with model registry solutions such as MLflow

Perks & Benefit

    • Work anywhere
    • Personal development budget
    • Veeva charitable giving program
    • Fitness reimbursement
    • Life insurance + pension fund

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

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.

*** Mention DataYoshi when applying ***

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