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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer (MLOPs) - **Company:** FRACTAL LLC - **Location:** United States - **Experience:** Experienced - **Salary:** $130,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Machine Learning, Natural Language Processing, Tensorflow, Software Engineering, Speech Recognition, Real Time Systems, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, Machine Learning Operations, Natural Language Understanding - **Published:** September 5, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/phpw73npxk ## About the Role * Master degree in computer science, Machine Learning, statistics, engineering, mathematics, or another STEM discipline * 5+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains. * 3+ years of DL frameworks such as PyTorch and/or TensorFlow * 3+ years of developing machine learning applications. * 3+ years of experience in developing Responsible AI metrics, best practices, and/or solutions * 3+ years of solid ML and RL research and developing experience Preferred Qualifications: * Strong technical and scientific knowledge in generative AI. * Experience with Advanced Deep Learning, applied math and statistics. * Ph.D. in Machine Learning with focus on NLP and/or GenAI * Having experience fine-tuning LLMs and/or improving pre-train LLM's performance ## Description AI/ML Engineers code and develop software that deploys ML models and algorithms in production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employee AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Applies deep learning technologies to give computers that capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. AI/ML Applied Scientists specialize in advancing and applying artificial intelligence through research-driven, experimental research, and translate research findings into practical AI solutions for the organization. * Assesses and interprets customer needs and requirements. * Identifies solutions to non-standard requests and problems. * Solves moderately complex problems and/or conducts moderately complex analyses. * Works with minimal guidance; seeks guidance on only the most complex tasks. * Translates concepts into practice. * Provides explanations and information to others on difficult issues. * Coaches, provides feedback, and guides others. * Acts as a resource for others with less experience. Responsibilities: * Developing and implementing models and methods that extend and improve LLM capabilities and reliability. * Research, design and implement scalable machine learning models for real-time processing. * Developing new solutions and science best practices in Responsible AI. * Developing our research and innovation agenda. * Defining the strategies, priorities, and metrics for technical progress in Deep Learning, RAG, LLMs, and Agents * Driving adoption of new science and best practices among service teams. ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)