Research Engineer

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. Ready to build the future of GenAI with us?

Requirements

You 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

You bring technical strength, curiosity, and a drive to build meaningful AI systems. Here's what helps you succeed in this role:

• 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
  
  

We know that great candidates might not check every box. If you're excited about this role and believe you could contribute, we'd love to hear from you.

Benefits

What we offer

• 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 flexible 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.