ml engineer digital finance

Siemens Energy, Inc.; Lisboa; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Attractive remuneration package

Employer-financed pension scheme

Shareholder opportunity

Flexible working time models

Development programmes and learning

Childcare at many locations

Trial part-time work or sabbatical

Job summary

Siemens Energy is seeking a senior AI/ML engineer to develop and deploy AI-driven automation solutions across forecasting, anomaly detection, and document classification, within agile teams.

You will design data pipelines on AWS/Snowflake, implement cloud architectures, and mentor junior engineers while advancing MVPs. The role emphasizes scalable, compliant AI and collaboration across engineering disciplines.

Qualifications

• University degree in Computer Science, Data Science, Engineering, or related field.
• Proven experience developing and deploying AI-based automation solutions in applied business environments.
• Expertise in Python, AWS, Snowflake, and AI frameworks for production-grade implementation.
• Strong decision-making balancing enterprise architecture, budget, and resource constraints.
• Experience leading engineering teams and applying Agile practices.
• Commitment to continuous learning and staying current with state-of-the-art AI advancements.

Responsibilities

• Develop and deploy AI-driven solutions for forecasting, anomaly detection, and document classification
• Design and implement data pipelines and cloud-based architectures for experimentation, model training, validation, and testing
• Integrate AI components into automation workflows, digital finance platforms, and microservice-based architectures
• Rapidly prototype AI models and contribute to MVP development within Agile teams
• Continuously evaluate and optimize AI performance for accuracy, scalability, and compliance with data privacy and security standards
• Collaborate with AI and data engineers to design reusable components and share best practices
• Mentor junior team members

Skills

AI development

Team leadership

Agile methodologies

Cloud architectures

Education

University degree in Computer Science, Data Science, Engineering, or related field

Tools

Python

AWS

Snowflake

AI frameworks

Job description

Описание:

Siemens Energy is an energy technology company that develops future energy systems to meet growing global energy demand reliably and sustainably. Its technologies support the energy transition and provide the foundation for one sixth of the world's electricity generation.

Задачи:

• Develop and deploy AI-driven solutions for forecasting, anomaly detection, and document classification
• Design and implement data pipelines and cloud-based architectures for experimentation, model training, validation, and testing
• Integrate AI components into automation workflows, digital finance platforms, and microservice-based architectures
• Rapidly prototype AI models and contribute to MVP development within Agile teams
• Continuously evaluate and optimize AI performance for accuracy, scalability, and compliance with data privacy and security standards
• Collaborate with AI and data engineers to design reusable components and share best practices
• Mentor junior team members

Требования:

• University degree in Computer Science, Data Science, Engineering, or a related technical field, or comparable qualifications gained through professional experience
• Proven experience developing and deploying AI-based automation solutions in applied business environments
• Expertise in Python, AWS, Snowflake, and AI frameworks for production-grade implementation
• Strong decision-making skills balancing enterprise architecture, budget, and resource constraints
• 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
• Nice to have: Experience in the Finance domain

Условия:

• Attractive remuneration package in line with the market
• Employer-financed company pension scheme
• Opportunity to become a Siemens Energy shareholder
• Flexible working time models
• Professional and personal development programmes and learning materials
• Childcare places at many locations
• Possibility of trial part-time work or a sabbatical