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At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof. Born out of Visium we're now channeling our expertise into something new: a category-defining GenAI product built to empower the next wave of thinkers, creators, and organizations. We're not just applying GenAI, we're pushing its boundaries.
We are building the Agentic AI Platform for Life Sciences companies - enabling pharma, biotech, and CROs to transform high-value workflows such as clinical trial documentation, regulatory submission writing, compliant marketing, and literature research. Our platform empowers both technical and non-technical users to orchestrate, build, and manage AI agents that operate safely in sensitive, regulated environments.
We're on a mission to shape the future of work, creation, and knowledge.RequirementsYou will collaborate closely with researchers and engineers to implement and optimize systems that support the development and deployment of state-of-the-art AI solutions. This role is ideal for individuals who thrive at the intersection of research and engineering, particularly in building robust tooling and data pipelines for large-scale AI models such as LLMs.
Key Responsibilities
Data Engineering: Build and maintain robust data pipelines that handle diverse and large-scale datasets, ensuring data quality and accessibility for model training
Collaboration: Work closely with cross-functional teams, including data scientists, ML engineers, and product managers, to integrate AI solutions into real-world applications
Research Support: Support Data Science needs, run large-scale model training, and analyze results to support ongoing research initiatives
Tooling and Automation: Develop tools and automation scripts to streamline workflows, improve efficiency, and ensure reproducibility in research and development processes.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus
Proficiency in Python
Solid understanding of machine learning concepts and experience working with ML frameworks like TensorFlow, PyTorch, or JAX
Experience with large language models (LLMs) and understanding of their training and deployment challenges
Familiarity with MLOps practices and tools for continuous integration and deployment of ML models
Experience in deploying distributed systems, cloud computing platforms (e.G., AWS, GCP, Azure), and containerization technologies (e.G., Docker, Kubernetes)
Strong skills in data processing, ETL pipelines, and working with large-scale datasets
Ability to tackle complex problems, think critically, and develop innovative solutions
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences
Benefits
A competitive compensation package
A yearly education budget to steep your learning curve
A yearly sport budget because a fit body leads to a fit mind
A versátil working culture because your work-life balance matters to us
A position that enables you to have an impact on 1'000s of people, and the whole company's growth
An international, knowledgeable, and passionate team with a strong collaborative mindset
Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions.
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Barcelona, Catalonia, Spain.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionIT Services and IT Consulting
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