Data Scientist Generative AI / LLM

Fusion
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Azure
C++
Cloud Computing
Computer Programming
Hadoop
Python
Machine Learning
TensorFlow
SQL Databases
Data Processing
Google Cloud Platform
PyTorch
Large Language Models
Prompt Engineering
Spark
Generative AI
Scikit Learn
Kafka

Job description

  • Design, build, and deploy scalable AI systems in production environments
  • Work with Generative AI, Large Language Models (LLMs), and RAG-based solutions
  • Fine-tune LLMs, perform prompt engineering, and optimize models
  • Evaluate LLMs, rank responses, detect hallucinations, and implement guardrails
  • Deploy LLM applications using LangChain or LlamaIndex
  • Utilize SQL, Hadoop, Spark, and Apache Kafka for data processing
  • Work with cloud platforms such as AWS, Azure, or Google Cloud
  • Understand and apply AgenticAI concepts in real-world implementations

Requirements

This position is for a Data Scientist specializing in Generative AI and Large Language Models (LLM). The ideal candidate will have experience in Artificial Intelligence, Machine Learning, and Data Science, with a focus on building and deploying scalable AI systems., * Strong programming skills in Python, Java, or C++

  • Hands-on experience with TensorFlow, PyTorch, and scikit-learn
  • Experience with LLMs, Generative AI, and RAG frameworks
  • Experience in LLM fine-tuning, prompt engineering, and model optimization
  • Experience deploying LLM applications using LangChain or LlamaIndex
  • Knowledge of SQL, Hadoop, Spark, and Apache Kafka
  • Cloud experience with AWS, Azure, or Google Cloud
  • Solid understanding of AgenticAI and real-world implementations

Preferred Skills:

  • Experience with OpenAI, LLaMA, Claude, or Gemini-based architectures
  • Experience in LLM evaluation, response ranking, and hallucination detection
  • Experience in guardrails implementation for LLM applications
  • Experience in working with AI models for language processing tasks

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