Lead Machine Learning Engineer – LLMs - Ramboll Tech
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 create
cutting-edge AI solutions that empower our business, mentor others,
and foster a culture of collaboration and growth. You will
collaborate with product owners and your Chapter lead to shape the
technical roadmap and implement best practices within your product
team (“Pod”) and the global Chapter of ML Engineers. You will work
with Chapter leads, subject matter experts, and other ML Engineers
to deliver impactful AI solutions. WHAT YOU WILL DO 1.
Technological Leadership: Define architectural patterns for
scalable LLM pipelines, ensuring versioning, monitoring, and best
practices. 2. Research and Development: Develop RAG architectures,
explore state-of-the-art LLMs, and incorporate recent trends like
instruction tuning, RLHF, or LoRA fine-tuning for domain
customization. 3. Evaluation and Optimization: Analyze models for
quality, latency, sustainability, and cost; define and own ML-Ops
for your Pod. 4. Experimentation and Continuous Improvement:
Develop experiments for model evaluation and improvement aligned
with industry standards. 5. Best Practices: Establish scalable
coding standards for maintainable, production-ready systems. 6.
Team Support: Mentor ML engineers to foster their growth. HOW YOU
WILL SUCCEED IN YOUR ROLE While not everyone will have all
qualifications, you might be a great fit if you bring some of the
following: - Bachelor’s or Master’s degree in Computer Science,
Engineering, or a related field. - Minimum 5 years of experience in
machine learning projects. - At least 2 years in a senior or lead
role. - Expertise in integrating modern LLMs into production
systems. Additional skills include leadership in agile
environments, strong communication, mentorship abilities, expertise
in RAG architectures, Transformer-based LLMs, model optimization,
programming in Python with frameworks like PyTorch, TensorFlow,
Hugging Face, LangChain, experience with containerization tools,
cloud deployment (preferably Azure), and familiarity with databases
and data platforms. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION,
EMPATHY We foster a team culture of continuous learning, diversity,
and openness. Our hybrid work approach emphasizes flexibility and
regular in-person interactions. WHO IS RAMBOLL Ramboll is a global
firm committed to sustainable change, fostering an inclusive
environment where everyone can thrive. Our culture is built on
openness, curiosity, and respect for diversity. WHAT RAMBOLL TECH
DOES We accelerate innovation and digital transformation across
Ramboll, collaborating on AI projects, developing proprietary AI
products, and expanding our global team. EQUALITY, DIVERSITY, AND
INCLUSION We value diversity as a strength and offer an inclusive,
flexible work environment. Applications from all backgrounds are
welcome; contact us at for
accessibility requests. IMPORTANT INFORMATION Please submit a cover
letter and current CV (preferably without a photo). For questions,
contact our recruitment team through the application tool.
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