Summary: Wizeline is seeking a Machine Learning Engineer to develop cutting-edge, AI-powered digital products, focusing on building secure, scalable, production-grade systems. Highlights: 1. Develop cutting-edge AI-powered digital products and platforms. 2. Opportunity for growth, collaboration, and impact in a global community. 3. Architect multi-agent systems and deploy LLM-powered applications. **We are:** Wizeline, a global AI\-native technology solutions provider, develops cutting\-edge, **AI\-powered** digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of **growth, collaboration,** and **impact.** **With the right people and the right ideas, there’s no limit to what we can achieve** **Are you a fit?** Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: ***Must\-have Skills:*** * Strong fundamentals in Software Engineering, with the ability to build secure, scalable, production\-grade systems. * 4\+ years of experience in Machine Learning Engineering or Data Engineering roles. * Strong programming skills in Python (or another ML\-focused high\-level language). * Experience designing and deploying Large Language Model (LLM)–powered applications in production environments. * Hands\-on experience architecting multi\-agent systems, including tool\-calling and long\-term memory strategies to solve complex, non\-linear problems. * Experience implementing automated evaluation pipelines (e.g., LLM\-as\-a\-judge). * Familiarity with optimized vector storage and indexing systems for NLP applications. * Experience building and maintaining high\-volume data processing pipelines (structured and unstructured data). * Familiarity with cloud infrastructure (AWS and/or GCP), Docker, and Git. * Experience integrating internal and third\-party AI APIs in a reliable and secure manner. * Hands\-on experience with the LangChain ecosystem (e.g., LangGraph, LangSmith) for prompt management, evaluation, and agent orchestration. * Strong collaboration skills to work cross\-functionally with data scientists, ML engineers, and product teams. * Clear and effective communication skills. * Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related STEM field (or equivalent practical experience). **What we offer:** * A High\-Impact Environment * Commitment to Professional Development * Flexible and Collaborative Culture * Global Opportunities * Vibrant Community * Total Rewards * *Specific benefits are determined by the employment type and location.* **Find out more about our culture** **here****.**