Associate Staff Engineer - Data Scientist

Sorry, this job was removed at 09:46 p.m. (CST) on Thursday, Mar 27, 2025
Hiring Remotely in USA
Remote
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role

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.


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The Company
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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