Lead Machine Learning Engineer (m/f/d) - LLMs - Ramboll Tech
- Full-time
At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth.
As the sparring partner for your product owners and your Chapter lead, your job is to shape the technical roadmap and contribute to the implementation of best practices both in the product team ('Pod') you work in and the global Chapter of ML Engineers. You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions.
WHAT YOU WILL DO
Technological Leadership:
- Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices.
- Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities.
Research and Development:
- Effective RAG architectures and technologies for organizing complex domain-specific data (e. g. vector databases, knowledge graphs) and effective knowledge extraction.
- Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency.
- Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization.
- Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts.
Evaluation and Optimization:
- Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes.
- Define and own the ML-Ops for your Pod.
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.
HOW YOU WILL SUCCEED IN YOUR ROLE
We're looking for someone who is excited to make an impact and grow with us. While not everyone will have all the qualifications listed, you might be a great fit if you bring some of the following:
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.
- 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.
- 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 (e. g. , GPT-4, Claude, Gemini, Llama, Falcon, Mistral).
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 (e. g. Docker, Kubernetes) and workflow management tools (e. g. Azure ML Studio, MLFlow).
Cloud and AI Infrastructure:
- Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization.
Databases:
- Experience with relational (SQL) and NoSQL databases.
Data Platforms:
- Familiarity with platforms like Snowflake or Databricks.
WHAT DEFINES US: CURIOSITY, OPTIMISM, AMBITION, EMPATHY
Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture.
We are curious about other people and their motivations; about new business models and technologies; about each other and the future.
We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe.
We are ambitious, setting our own standards higher than others' expectations, and we celebrate each other's successes.
We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world.
HOW WE WORK AS A TEAM
Our team culture is crucial to us; that's why 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. We value diversity, and although we're not perfect, we regularly engage in open discussions about how we can improve in this area.
Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for teams and individuals, with as much autonomy as possible. We also meet up in person regularly, such as twice a year at our offsite or during team dinners.
WHO IS RAMBOLL
Ramboll is a global architecture, engineering, and consultancy firm. We believe sustainable change's aim is to create a livable world where people thrive in healthy nature. Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act. Openness and curiosity are cornerstones of our corporate culture, fostering an inclusive mindset that seeks new, diverse, and innovative perspectives. We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential.
AND WHAT DOES RAMBOLL TECH DO
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 pro.