Data Science & Advanced Analytics
Working across a wide range of data and AI initiatives, you will help design, build, and maintain ML and data science applications. As an intermediate engineer, you will collaborate closely with data scientists, product teams, and subject‑matter experts to develop practical, scalable solutions that support AIML‑driven products.
You will contribute throughout the product development lifecycle—helping transform prototypes into reliable services, implementing software that exposes data science models to business users, and supporting continuous improvement across the engineering workflow.
Deliver engineering features that are robust, maintainable, and aligned with team standards
Build and maintain CI/CD pipelines for on‑premises and cloud deployments
Collaborate with data scientists to productionize models and improve code quality
Contribute to product quality through testing, monitoring, and iterative improvements
Support documentation efforts for services, workflows, and model integrations
Share knowledge across teams and contribute to a collaborative engineering culture
Relevant software engineering experience in collaborative, team‑based environments
Strong understanding of computer science fundamentals
Proficiency in backend Python development
Experience with microservices and distributed systems
Familiarity with LLM orchestration frameworks such as LangChain or LangGraph
Experience deploying models to cloud platforms (AWS, GCP, or Azure)
Knowledge of container orchestration such as Kubernetes
Experience with relational databases
Exposure to workflow tools like Airflow
Solid grasp of software engineering principles, version control, and testing
Experience with CI/CD and deploying code to production
Ability to build RESTful APIs
Understanding of Agile practices and experience working in Agile teams
Opportunities to work on impactful AI solutions in healthcare and pharma
Growth through hands‑on innovation, mentorship, and continuous
📌 Engineer gezocht (Italia)
🏢 Iqvia
📍 Italia
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