Wrench.AI

Compensation

Full Description

Company Description Wrench.AI empowers business leaders by demystifying personalization and the optimized messaging. process. We analyze contacts, campaigns, and content using big data, deep learning, and machine learning, and LLMs. We develop user-friendly, Big Data-driven tools that enable organizations to make informed decisions, automate processes, and optimize resources for maximum ROI. Our data-driven solutions provide a competitive edge without requiring a technical background, allowing users to focus on results while we handle the complexities of data engineering. At Wrench.AI, we are dedicated to making cutting-edge technology accessible and actionable for all, turning challenges into opportunities. Role Description This is a full-time remote position for a Senior ML / LLM Ops Developer. This is significant hands-on development, not prompt engineering. In this role, you will design, develop, and deploy machine learning and large language model (LLM) pipelines and infrastructures. Your responsibilities will include optimizing ML workflows, implementing robust AI/ML solutions, and collaborating with cross-functional teams to integrate machine learning models into production. You will also oversee deployment, monitor performance, and ensure scalability and reliability of solutions in line with industry best practices. Qualifications • Proficiency in Machine Learning, Deep Learning, and working with Large Language Models (LLMs) • Experience in deploying and optimizing ML/LLM workflows in cloud environments • Strong skills in Python, APIs, and modern machine learning frameworks such as TensorFlow or PyTorch • Solid knowledge of Big Data technologies and tools for pre-processing and managing large datasets • Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders • Experience in performance monitoring, troubleshooting, and ensuring the scalability of ML models • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field • Prior experience in ML/LLM Ops or a similar role is a strong plus • Familiarity with MLOps best practices, model versioning, and CI/CD pipelines is beneficial