Technical Lead for LLM Solutions

4 hours ago

Stockholm, Stockholm, Sweden Ramboll Full time

Transforming Business with AI at Ramboll

Ramboll Tech accelerates innovation and digital transformation for the entire Ramboll group and directs all AI-related initiatives within the company. This includes collaborating with markets at Ramboll on their AI projects, as well as working on larger change processes within the corporation and developing proprietary AI products for Ramboll and our clients.

As a Machine Learning Innovation Manager, you will be responsible for creating cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth.

You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. Your role will involve researching and developing effective RAG architectures and technologies for organizing complex domain-specific data and effective knowledge extraction.

You will also explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency.

What You Will Do:

  • Technological Leadership: Research and develop effective RAG architectures and technologies for organizing complex domain-specific data and effective knowledge extraction.
  • Research and Development: Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency.
  • Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes.
  • Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards.
  • Best Practices: Establish scalable coding standards and best practices for maintainable and production-ready systems.
  • Team Support: Mentor ML engineers to foster their personal growth.

Your Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: Minimum 5 years of experience implementing machine learning projects, at least 2 years in a senior or lead role, and demonstrated expertise integrating modern LLMs into production systems.
  • Leadership Skills: Proven leadership in driving technical projects to successful completion in agile environments, strong communication skills to align technical solutions with business goals, and ability to mentor and foster innovation within the team.
  • LLM and RAG Expertise: Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases.
  • Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs.
  • Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability, and cost-effective performance.
  • Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain.
  • MLOps and Deployment: Experience with containerization tools and workflow management tools.
  • Cloud and AI Infrastructure: Hands-on experience with cloud environments for scalable AI deployment, monitoring, and optimization.
  • Databases: Experience with relational and NoSQL databases.
  • Data Platforms: Familiarity with platforms like Snowflake or Databricks.

Our Team Culture:

We value diversity, equality, and inclusion. Our team culture is crucial to us, and we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another.

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