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Devoteam S Team GmbH

Machine Learning & AI Engineer

Devoteam S Team GmbH

Published 02 Mar 2026
Indonesia
Full Time

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Role Highlights

Languages used

Python

Key skills

AI
Machine Learning
Data Science
ML Ops
Computer Science
Strategic Thinking
Transformation
DataSets
Cloud
Statistics
Mathematics

Tools, Libraries and Frameworks

Vertex AI
GCP
AWS
KubeFlow
Tensorflow
PyTorch
Scikit-learn
FastAPI
Langchain

Description

Devoteam Machine Learning & AI Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Machine Learning & AI Engineer Full-time Contract type: Permanent contract Company Description Devoteam is a global tech consulting firm driving AI-driven transformation for sustainable value, guided by our vision Tech for people. We believe technology goes beyond solving problemsit enables better change for businesses, people, and society. Through our AMPLIFY strategy, we empower clients to imagine and realise better change by combining creativity, leading technology, AI, and strategic thinking into impactful, real-world use cases. With 25+ years of experience and 8,000+ professionals across Europe and the Middle East, Devoteam fosters an environment where people grow, innovation thrives, and responsible technology creates long-term impact. Job Description We are seeking a highly motivated ML Engineer or Software Engineer ML to join our growing ML team. In this role, you will play a key part in designing, developing, and deploying machine learning solutions for our clients across various industries. You will collaborate with other data scientists, engineers, and consultants to deliver innovative and impactful solutions that address our clients' business challenges. Responsibilities: Design, develop, and deploy machine learning models and algorithms Analyze large and complex datasets to identify patterns and insights Build and maintain data pipelines for data ingestion, processing, and transformation Collaborate with stakeholders to understand business requirements and translate them into technical solutions Stay up to date with the latest advancements in machine learning and artificial intelligence Contribute to the development of Devoteam's data science and machine learning capabilities Qualifications 3+ years of experience in a machine learning engineer or software engineering role Strong programming skills in Python or Golang Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with cloud platforms such as GCP, AWS, or Azure Experience with modern python tech stack (FastAPI, UV) Experience with production scale ML Engineering or Software Engineering project Excellent communication and interpersonal skills Bachelor or Master's degree Computer Science, Statistics, Mathematics, or a related field Fluent in English Bonus Point: Contributions to open-source projects or publications in relevant conferences or journals Experience with MLOps tools (Vertex AI and Kubeflow) and practices Experience with Gen AI or Agentic AI Development (Google ADK, Langgraph, Langchain) Having Google Cloud Professional Certification Additional Information At the moment we are only able to hire candidates based in Indonesia for a full-time working hour. Videos To Watch I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Machine Learning & AI Engineer District 8 SCBD, Revenue Tower Level 26, South Jakarta, DKI Jakarta, Indonesia Full-time I'm interested I'm interested

Required Qualifications and Skills

The role requires at least 3 years of experience in a machine learning engineer or software engineering position. Strong programming abilities in Python or Golang are essential, along with experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency with cloud platforms like GCP, AWS, or Azure is also necessary. Experience with modern Python technologies like FastAPI and UV, and with production-scale ML Engineering or Software Engineering projects, is required. A Bachelor or Master's degree in Computer Science, Statistics, Mathematics, or a related field is needed, along with fluency in English.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Devoteam S Team GmbH

Size

17

Founded

HQ

Weiterstadt, DE

Public/Private

Sole Proprietorship

Description

Devoteam S Team ist bei rund 200 Kunden in über 800 Projekten einer der wichtigsten strategischen Partner im SAP Umfeld. Insbesondere wenn es um den modernen SAP Betrieb auf den wichtigsten Hyperscalern, wie GCP, Azure und AWS geht. Unsere SAP Spezialisten stemmen seit knapp 20 Jahren tagtäglich S/4 HANA Transformations- und SAP Projekte. Wir helfen unseren Klienten dabei die richtige SAP Strategie zu erarbeitenden Betrieb zu optimieren und am Laufen zu halten. Unter dem Motto #techforpeople führen wir anspruchsvolle und innovative IT & Business-Projekte zum Erfolg. Devoteam S Team ist ein Teil der Devoteam-Gruppe mit rund 7.600+ Mitarbeitern weltweit, davon 600+ in der DACH Region. Was wir bei Devoteam S Team bieten: Weiterbildung im Fokus: Interne Trainingsakademie zur Vorbereitung auf SAP-Zertifizierungen und mit gezielten Trainings zu Cloud, Development und Projektmanagement, usw. Community: SAP Meetup, SharePoint Saturday, SQLPASS – nur einige MS Events, an denen wir aktiv teilnehmen und in unseren Niederlassungen abhalten. Benefits: Teilzeitmodelle, individuelles Firmenwagenprogramm, Jobrad, Laptop & Mobile Device – auch privat nutzbar, Get-together für Themen- und Grillabende, Corporate Benefits – starke Rabatte bei vielen Anbietern. Track-Record: Expertise aus über 750 abgeschlossenen IT-Projekten.

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