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: Key Responsibilities <ul> <li>Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.</li> <li>Implement optimized vector storage and indexing systems for NLP.</li> <li>Develop tools and frameworks for prompt management, automated evaluations, and observability.</li> <li>Monitor and improve agentic systems performance for accuracy and efficiency.</li> <li>Provide ongoing support, troubleshoot issues, and implement updates for ML solutions</li> <li>Build and maintain data processing pipelines for high volumes of structured and unstructured data.</li> <li>Integrate third-party AI APIs (internal and external) to extend the functionality of systems.</li> <li>Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.</li> <li>Build and extend internal products on top of the LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation, and agent orchestration across the team.</li> </ul> Must-have Skills: <ul> <li>Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.</li> <li>4+ years of industrial experience in a machine learning engineering or data engineering role.</li> <li>Strong programming skills in Python and/or another high-level language commonly used in machine learning.</li> <li>Experience deploying LLMs, implementing automated evaluation pipelines (LLM-as-a-judge), and architecting multi-agent systems that utilize tool-calling and long-term memory to solve non-linear problems.</li> </ul> Nice-to-have: <ul> <li>AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. </li> <li>Familiarity with cloud-based infrastructure and services (e.g., AWS and GCP), Docker, and the Git version control system</li> <li>Familiarity with consuming and integrating APIs in a reliable and secure manner.</li> </ul> What we offer: <ul> <li>A High-Impact Environment</li> <li>Commitment to Professional Development</li> <li>Flexible and Collaborative Culture</li> <li>Global Opportunities</li> <li>Vibrant Community</li> <li>Total Rewards</li> </ul> *Specific benefits are determined by the employment type and location. Find out more about our culture <a href="https://www.instagram.com/wizelineglobal/">here</a>.

Senior ML/AI Engineer

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