Associate Staff Engineer - Data Scientist
Remote, Colombia
- Remote-first
- Website
- @nagarro 𝕏
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Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
We are looking for an LLM engineer who can support customer L2.5 initiative (analyze LLM issues & fix them through advance analysis).
Key Responsibilities:
- Design, develop, and optimize AI-powered applications leveraging Python, Generative AI, and LLMs.
- Implement, fine-tune, and deploy Large Language Models (LLMs) for various use cases.
- Work with state-of-the-art AI/ML frameworks.
- Develop APIs and microservices to integrate AI models into scalable applications.
- Collaborate with data scientists, ML engineers, and product teams to refine AI solutions.
- Optimize model performance and inference time for real-world applications.
- Stay updated with the latest advancements in AI, NLP, and deep learning.
Qualifications
Must have Skills: Generative AI Fundamentals (Strong), Python for Data Science (Strong), Data science on AWS (Strong), Vector Illustration, RAG.
- 5+ years of professional experience in Python development.
- Hands-on experience with Generative AI models and LLMs such as GPT, BERT, LLaMA, or similar architectures.
- Strong understanding of NLP, deep learning, and model fine-tuning.
- Experience with AI/ML frameworks.
- Knowledge of cloud platforms (AWS, GCP, Azure) for model deployment.
- Proficiency in developing APIs, microservices, and containerized applications using Docker & Kubernetes.
- Familiarity with MLOps practices and model monitoring techniques.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure BERT Deep Learning Docker Engineering GCP Generative AI GPT Kubernetes LLaMA LLMs Machine Learning Microservices MLOps Model deployment NLP Python RAG
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