Associate Staff Engineer - Data Scientist

1 Month ago • 5 Years + • Artificial Intelligence

Job Summary

Job Description

As an Associate Staff Engineer - Data Scientist, you will support the customer L2.5 initiative by analyzing and resolving LLM issues through advanced analysis. Responsibilities include designing, developing, and optimizing AI-powered applications using Python, Generative AI, and LLMs; implementing, fine-tuning, and deploying LLMs for various use cases; working with state-of-the-art AI/ML frameworks; developing APIs and microservices; collaborating with data scientists and product teams; optimizing model performance; and staying updated on AI advancements. This role requires strong experience with Generative AI, Python for data science, and data science on AWS, along with expertise in NLP, deep learning, and model fine-tuning. Experience with cloud platforms and MLOps is essential.
Must have:
  • Generative AI Fundamentals
  • Python for Data Science
  • Data science on AWS
  • Vector Illustration
  • RAG
  • LLM experience (GPT, BERT, LLaMA)
  • NLP & Deep Learning
  • API & Microservice Development
  • MLOps & Model Monitoring

Job Details

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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