Job
Description
Role Overview: At Ramboll Tech, as a Lead Machine Learning Engineer, you will be responsible for creating cutting-edge AI solutions while mentoring others and fostering a culture of collaboration and growth. Your role will involve shaping the technical roadmap, contributing to the implementation of best practices, and working with global teams to deliver impactful AI solutions. Key Responsibilities: - 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 develop effective RAG architectures and technologies for organizing complex domain-specific data. - 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. - Analyze models for quality, latency, sustainability metrics, and cost, implementing improvements for better outcomes. - Define and own the ML-Ops for your Pod. - Develop experiments for model evaluation and improvement, aligned with evolving industry standards. - Establish scalable coding standards and best practices for maintainable and production-ready systems. - Mentor ML engineers to foster their personal growth. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Minimum 5 years of experience implementing machine learning projects. - At least 2 years in a senior or lead role. - Demonstrated expertise in integrating modern LLMs into production systems. - 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. - Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. - In-depth experience with modern Transformer-based LLMs. - Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability, and cost-effective performance. - Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. - Experience with containerization tools (e.g. Docker, Kubernetes) and workflow management tools. - Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment. - Experience with relational (SQL), NoSQL databases. - Familiarity with platforms like Snowflake or Databricks. Additional Details of the Company: At Ramboll Tech, the team culture is crucial, focusing on exchanging ideas, supporting each other, and fostering a strong team spirit. The company values diversity and aims to continuously learn and grow from one another. Ramboll is a global architecture, engineering, and consultancy firm committed to creating a livable world where people thrive in healthy nature. Ramboll Tech accelerates innovation and digital transformation within the company and collaborates on AI projects. The company is dedicated to equality, diversity, and inclusion, providing an inclusive work environment where everyone can flourish and reach their potential.,
