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Job Description- Data Scientist/ GenAI LLM Engineer
- Help business to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information (PLM , Manufacturing etc)
- Expertise in LLM/GenAI technologies.
- Responsible to collaborating closely with customers to prototype, build, test, and deploy products powered by GenAI/LLM technology for MVP.
- Fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance
- Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing
- CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise.
- Design prototypes and POCs to demonstrate solution feasibility and value.
- Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
- Bachelor’s Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields
- Experience in AI/ML technologies and software engineering, at least 2 years of hands-on experience with Python, 1+ years of experience building and maintaining scalable API solution
- 2 years of professional experience with NLP
- 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database
- 1+ years of experience with AWS, GCP or Microsoft Azure, 1+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments
- Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.
- Experience with Java, Java Script or Scala, 1+ years of experience with Snowflake or Databricks is preferred
- Deep knowledge of a specific domain or industry, with a focus on NLP/LLM
- In depth understanding of Responsible AI standards and protocols
- Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development
Key Skills
Ranked by relevance
prototypes
python
java
containerization
pytorch
scala
cloud
mlops
cicd
aws
gcp
ai
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- Posted
- Sep 20, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Karlstad
- Company
- Cyient
Industries
Engineering Services
Categories
Information Technology
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3 roles aligned with this opportunity
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