
AI/ML Engineer β Live Story
Posted Jun 30

Posted Jun 30
This is a fully remote position, open to applicants in Italy.
β’ AI Product Development: You will design and implement features based on both Generative AI (fine-tuning and orchestration of LLMs like Llama or OpenAI) and traditional Machine Learning models.
β’ Bridge Tech-Business: Collaborating closely with the Product Team, you will identify high-impact use cases, translating business needs into tangible data science projects.
β’ MLOps & Infrastructure: Your role will extend beyond model creation; you will also contribute to building the infrastructure for prompt management, model monitoring, cost optimization, and deployment pipelines.
β’ Continuous Improvement: You will monitor the performance of models in production, analyzing usage data to iterate and ensure that AI delivers true value to the business.
β’ 3+ years of hands-on experience in AI/Data Science, ideally gained in product or SaaS environments.
β’ Python Mastery: A deep understanding of Python and its core libraries is essential.
β’ GenAI Stack: Practical experience with Deep Learning frameworks (PyTorch, Hugging Face) and orchestration tools such as LangChain is required.
β’ Classical ML: Proficiency in Scikit-Learn, Pandas, Numpy, and statistical modeling is necessary.
β’ MLOps: You should have experience in bringing models into production (deployment, performance tuning, cost/latency optimization).
β’ Compensation (RAL): Range of β¬35,000 - β¬45,000.
β’ Flexibility: The company operates with a Remote-first policy. You can work fully remotely from wherever you choose, or utilize the offices in Milan if you prefer in-person interaction.
β’ Tech Environment: You will join a team where code quality and innovation are prioritized.
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