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Detailed Responsibilities:
- Deploy and monitor machine learning models using Vertex AI.
- Fine-tune large language models (LLMs) and retrieval-augmented generation (RAG) systems.
- Develop agentic AI workflows utilizing LangChain and LlamaIndex.
- Integrate and implement generative AI tools and APIs.
- Ensure model safety, explainability, and continuous monitoring for optimal performance.
Skill Requirements:
- Proficiency in TensorFlow, PyTorch, and scikit-learn.
- Experience with Vertex AI, BigQuery ML, and Feature Store.
- Advanced Python programming skills, including FastAPI and model monitoring tools.
- Minimum 5–10 years of experience in machine learning and 1–2 years in generative AI applications.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Nice to have:
- Google Cloud Platform (GCP) Machine Learning Engineer certification.
- Completion of GenAI coursework or relevant professional certification.
- Experience with cloud-based MLOps and deployment best practices.
- Strong analytical, problem-solving, and communication skills.
Key Skills
Ranked by relevance
ai
machine learning
cloud
tensorflow
ai tools
fastapi
pytorch
python
mlops
gcp
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- Posted
- Jan 15, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Cracow
- Company
- Galaxi Consulting Group
Industries
IT Services
IT Consulting
Categories
Information Technology
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