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Senior / Lead Machine Learning Engineer
RambollGurugram, Haryana, India6 hours ago
Job descriptionEffective 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. 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. Establish scalable coding standards and best practices for maintainable and production-ready systems. Mentor ML engineers to foster their personal growth. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Bachelor’s or Master’s 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 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. LLM and RAG Expertise : Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral) 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) Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Processing and knowledge extraction tools Experience with relational (SQL), NoSQL databases Familiarity with platforms like Snowflake or Databricks
Job Description
At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As Senior / 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 :
Evaluation and Optimization :
Best Practices :
Team Support :
Qualifications
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. We’re working with every team member individually to grow according to their needs and abilities.
Education :
Experience :
Leadership skills :
Technology Skills :
Transformer and LLM Architectures :
Model Performance and Optimization :
Cloud and AI Infrastructure :
Document Intelligence :
Databases :
Data Platforms :
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Machine Learning Engineer • Gurugram, Haryana, India
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