Consultant (m/w/d) Machine Learning Engineering

Company: T-Systems International GmbH
Job ID: 235103
Location: Germany : Nordrhein-Westfalen : Bonn || Germany : Bayern : München || Germany : Berlin : Berlin || Germany : Hamburg : Hamburg || Germany : Hessen : Darmstadt || Germany : Hessen : Frankfurt/Main || Germany : Nordrhein-Westfalen : Düsseldorf
Career level: 04 - Professionals
Experience required: 3-5 years
Employment type: 01 - Regular (Part Time possible)
Weekly working hours: 40.00
Amount of travel: 0-25%
Languages required: German; English
Application deadline: 05/02/2025

T-Systems International GmbH
At T-Systems, we offer business customers the right system solutions for their digital business. With our portfolio we ensure that digital transformation reduces complexity, saves costs and makes day-to-day work easier. We focus on the areas connectivity, digital, cloud & infrastructure as well as security - Let's power higher performance!

Department

We are a team of skilled engineers and ML experts working with clients in healthcare, public sector, and automotive industries. Our focus is on rapid iterations and delivering tangible business outcomes through innovative AI solutions.

In the "Digital Solutions" business unit, we focus on providing our customers with a clear competitive advantage through pioneering digital solutions. Our goal is to support companies in driving their digital transformation and strengthening their competitiveness in an increasingly digital market environment. The "Digital Enabler" area plays a key role within our Digital Solutions portfolio, concentrating on fields such as Artificial Intelligence, Data Intelligence & Big Data, Hyperautomation, Application-Led Cloud Transformation, IoT, Digital Identity, and more. For all the focus industries in the "Digital Solutions" portfolio area, we deliver state-of-the-art expertise and solutions in close collaboration with the industry-oriented teams.

In the "Artificial Intelligence" area, our expertise focuses on "Generative AI & LLM Services," "AI Architecture," "Computer Vision," and "AI Platforms & Assets.

Tasks

About the role

As a Consultant Machine Learning Engineering (m/f/d), you will guide enterprise clients through their AI journey. Your primary focus lies in bridging business goals with machine learning capabilities. You'll act as a strategic consultant and project lead, ensuring value-oriented and coordinated delivery across stakeholders and teams.

Your Responsibilities

• Assess client readiness for machine learning and identify relevant business opportunities
• Develop comprehensive and tailored project plans for machine learning solution rollouts
• Collaborate with clients to define clear KPIs and success criteria
• Coordinate cross-functional project teams, including data science, IT, and various business units
• Monitor project milestones, ensuring deliveries remain aligned with business objectives
• Document project learnings and best practices to facilitate reuse and continuous improvement

Profile

Required Qualifications:

• Bachelor’s degree in Computer Science, Business, Data Science, or related fields
• 3+ years of experience in project management, technology consulting, or a similar client-facing role
• Solid understanding of machine learning principles and applications in business contexts
• Strong communication skills and experience in managing stakeholder relationships
• Familiarity with project management methodologies (Agile, Scrum, or classic models)
• Analytical mindset with structured problem-solving skills

Preferred Qualifications:

• Hands-on experience implementing ML solutions in enterprise environments
• Sector expertise in industries like healthcare, public sector, or manufacturing
• Technical background in data science or AI (understanding of model pipelines, MLOps, etc.)
• Certifications in project management (e.g. PMP, PRINCE2, SAFe)

In case of equal qualification, disabled candidates will be considered preferentially.

Severely disabled applicants with equal qualification will be given particular consideration.

Your contact: Alina Florentina Pocea 
Phone: +40 785178822 
E-mail: alina.pocea@telekom.com 

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