AI/ML Engineer

Technologies we use

About the project

Your 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.

Our 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.

Optional

• 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.

What we offer

• Life insurance
• Private medical care
• MultiSport Card
• Subsidies for glasses
• Subsidies for language courses
• Christmas and holiday bonuses

Benefits