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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Experienced AI/ML Engineer - **Company:** Siemens Energy - **Location:** Munich, ND, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Python (Programming Language), Machine Learning, Performance Tuning, Rapid Prototyping Process, Software Organization, Cloud Platform System, Large Language Models, Snowflake, Information Technology, Document Classification, Data Pipelines - **Published:** July 14, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p48zvn9gvc ## About the Role * University degree in Computer Science, Data Science, Engineering, or a related technical field, or comparable qualifications gained through professional experience * Proven experience in developing and deploying AI-based automation solutions in applied business environments, ideally within the Finance domain * Expertise in Python, AWS, Snowflake, and AI frameworks for production-grade implementation * Strong decision-making skills balancing enterprise architecture, budget, and resource constraints, with experience leading engineering teams * Solid understanding of Agile principles and modern software development practices * Commitment to continuous learning and staying current with state-of-the-art AI advancements ## Description As an AI/ML Engineer in the Applied AI Solutions team, you will use the range of statistical, machine learning and LLM techniques, tools, models and agents ('AI') to enable the company's digital finance operations by automation. You will be a key contributor to Siemens Energy finance center of excellence for applied AI and automation. You'll work closely with solution architects, product managers, other data and AI engineers and finance experts/stakeholders to prototype, build and test scalable, production-ready AI solutions. Your day will involve deep thinking, coding and designing time, including involve Finance stakeholder interactions, experimentation, technique and algorithm selection, model training or querying, accuracy evaluations, or integration of AI into digital finance platforms. How You'll Make An Impact * Development and deployment of AI-driven solutions to address business challenges such as forecasting, anomaly detection, and document classification * Design and implementation of data pipelines and cloud-based architectures for experimentation, model training, validation, and testing * Integration of AI components into automation workflows, digital finance platforms, and microservice-based architectures * Rapid prototyping of AI models and contribution to MVP development within Agile teams * Continuous evaluation and optimization of AI performance for accuracy, scalability, and compliance with data privacy and security standards * Collaboration with AI and data engineers to design reusable components, share best practices, and mentor junior team members ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)