Machine Learning Engineer

Gofore Germany GmbH
Frankfurt am Main, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 17K

Job location

Frankfurt am Main, Germany

Tech stack

Java
API
Artificial Intelligence
Data analysis
Automation of Tests
Google BigQuery
Cloud Computing
Information Engineering
Data Vault Modeling
Relational Databases
Software Design Patterns
DevOps
Data Flow Control
Python
Machine Learning
NoSQL
Trunk-based Development
Google Cloud Platform
Deep Learning
Generative AI
Build Management
Data Lake
Information Technology
Star Schema
Terraform
Go
Programming Languages

Job description

leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Germany: €150000 - €154000 (EUR) + 20% bonus target + equity + benefits Learn more about benefits at Google.* Design and build autonomous agentic workflows utilizing machine learning and generative AI technologies as part of a fully autonomous or human-in-the-loop agentic workflow. Partner with client leads(business user) to identify high-impact AI use cases. Translate these into product requirement documents (PRDs), clearly defining critical user journeys (CUJs) and success metrics. Evaluate and integrate AI solutions with modern data foundations, including relational databases, data lake houses, and real-time streaming architectures. Ensure all prototypes are built with a "production-first" mindset. Implement basic CI/CD pipelines and utilize infrastructure-as-code (IaC) (e.g., Terraform) to ensure environments are reproducible and secure. Create clear technical guides to ensure a seamless hand-off from POC to engineering teams.

Requirements

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt am Main, Germany; Munich, Germany; London, UK. Minimum qualifications: Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 7 years of experience in software or data engineering, including one or more programming languages (e.g., Python, Go, Java), and with design patterns, testing frameworks, and API contract design. Experience using machine learning methodologies (deep learning, reinforced learning), model identification, selection and AI operations (e.g., model monitoring). Experience using Generative AI and agentic orchestration utilizing frameworks (e.g., LangChain, CrewAI, or Vertex AI Agent Builder) and vector databases. Preferred qualifications: Experience in financial services, and with the regulatory and operational clearing, settlement, or custody. Experience with FSI regulatory practices and data residency, encryption at rest/transit (CMEK), and "explainable AI" requirements in banking. Experience with data modeling of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.). Experience in BigQuery, Vertex AI, Dataflow, and Pub/Sub with an ability to drive the discovery phase, moving from a vague business problem to a structured product requirement document (PRD) and a working technical demo. Experience working in a high-maturity DevOps culture (e.g., trunk-based development, automated testing, blue/green deployments). About the Job In this role, you will accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred choice for customers by delivering the highest-value, industry relevant solutions.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that

About the company

We create positive impact.

Our mission is to change the world for the better. We build a better future with our work in digital transformation and renewing ways of working. We pursue projects that have a significant positive impact on both society, and the environment. Our organization, culture, and capabilities evolve (and adapt) continuously to match our customers’ needs. We are committed to being socially, environmentally, and financially responsible – we care for our people, our customers, and the surrounding world.


Gofore is a great workplace for everyone.

At Gofore you are free to choose your way of working since we believe individuals know how they work at their best. We encourage our employees to learn continuously and offer possibilities to develop their expertise and personal skills. At Gofore you can be your true self. Our culture is based on caring for each other, meaningful work and continuous improvement. Our people come to work smiling, even on Mondays.


Gofore thrives on customer success.

We know that the key to success is collaboration. Our teams work closely with our customers, continuously sharing knowledge and developing together. We strive to make a positive impact and are committed to successful results.


Our culture.

Our unique company culture is based on equality, transparency, and trust. Everyone has a part and a voice in our communal culture. We trust our experts to make the best decisions themselves – we believe that smart people make smart decisions. Our culture thrives when everyone is committed to building it.

Our culture also evolves as our organization and experts develop. Our story was enriched with service design specialist Leadin in 2017, in 2018 with digital business specialist Solinor and in 2019 with digital transformation consultancy Silver Planet and design agency Mangodesign, in 2020 with Qentinel Finland, and in 2021 with CCEA. In 2017, we were chosen as the best workplace in Finland and the runner-up to the best workplace in Europe.

Apply for this position