Ofertas de empleo en Visium

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 sept.

. Python Azure Docker Cloud Coumputing Kubernetes AWS Machine Learning

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.

With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.

We're on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visumees.

Ready to become one?

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
  
  

• 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
  
  

• 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