Siemens Energy
AI

Experienced AI/ML Engineer

Siemens Energy · Berlin, BE, DE

Actively hiring Posted 4 months ago

A Snapshot of Your Day

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

What You Bring

  • 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

About the Team

In our Business Functions we enable our organization to reach their targets by providing best-in class services and solutions in the areas of IT, HR, Finance, Real Estate, Strategy & Technology and more.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

  • In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
  • We also offer the opportunity to become a Siemens Energy shareholder
  • We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
  • The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical

We value equal opportunities and welcome applications from people with disabilities.

https://jobs.siemens-energy.com/jobs

#LI-HYBRID

#RPO

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Ai Engineer Machine Learning Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.