20 beste Stellen als machine learning in home office – aktuell auf Personalsuche

AI Experts - 100% remote, ASAP, long-term
wynwood tech LLC —Home Office
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PostDoc MRT-Physiker:in (all genders) am Universitätsklinikum Bonn
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Cerence —Home Office
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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in home office erhalten

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machine learning jobs near home office

AI Experts - 100% remote, ASAP, long-term

wynwood tech LLC
Home Office

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master

Vollständige Stellenbeschreibung

Dear AI Experts,

We are currently looking for multiple AI Experts in different roles for one of the leading tech companies in Europe. The position is 100% remote and long-term.

ROLES:

AI Specialist / Expert
AI Architect
Business Analyst

QUICK FACTS:

Freelancing/Contracting
Start: ASAP
100% remote
Duration: long-term 12+ months
Capacity: full-time, part-time also possible
Language: English
Central european time

REQUIREMENTS (AI Specialist):

Strong experience with machine learning algorithms and NLP techniques, using frameworks such as scikit-learn and Hugging Face.
Proficiency in data preprocessing, feature engineering, and statistical model validation to ensure high-quality training data and model performance.
Solid programming skills in Python or R, with experience deploying AI solutions using cloud platforms (e.g., AWS SageMaker) and working with big data tools.
Ability to create meaningful visualizations and communicate findings effectively to technical and non-technical stakeholders.
Understanding of ethical AI practices and experience aligning AI initiatives with business goals through cross-functional collaboration.

REQUIREMENTS (AI Architect):

Experience designing robust, scalable AI architectures, including API design, seamless system integration, and deploying solutions on AWS or Azure, with a focus on performance and resource optimization.
Strong background in data engineering, including the development and improvement of ETL processes, data pipelines, and use of big data technologies to ensure data quality and availability.
Deep understanding of AI security, data privacy, and compliance requirements, and the ability to implement them effectively in enterprise environments.
Proven ability to align AI architecture with business strategy, driving technical direction through collaboration with cross-functional teams.
Awareness of emerging AI trends and technologies, with a mindset of continuous improvement to guide architecture decisions.

REQUIREMENTS (Business Analyst):

Experience conducting end-to-end process analysis in the automotive domain, with the ability to identify high-impact AI/LLM use cases that enhance user experience, efficiency, and business value.
Familiarity with designing and validating scalable, secure LLM architectures across cloud, edge, and onboard environments, including modular AI, automation, and digital assistant platforms.
Strong understanding of modern AI technology stacks such as Azure OpenAI, Amazon Bedrock, Hugging Face, LangChain, and LlamaIndex, including vector databases, inference APIs, and orchestration tools.
Proven track record in agile environments (SAFe, Scrum), with experience in stakeholder management and coordinating cross-functional teams.
Knowledge of AI governance, model lifecycle management, and the implementation of ethical and regulatory guardrails in enterprise environments.

Are you interested?

If so, please send us your most recent CV as well as your earliest possible starting date.
When sending over your details, please include a self-assessment (0-10, 10 = expert level) in the following areas:

AI Specialist / Expert:

Machine Learning (scikit-learn, etc.)
NLP (Hugging Face, etc.)
Data Preprocessing
Python / R
AWS SageMaker
Ethics & AI Governance

AI Architect:

Scalable AI Architecture
API / System Integration
Cloud Deployments (AWS/Azure)
Data Engineering / ETL
AI Security & Compliance
Technical Leadership

Business Analyst / Business Consultant:

Process Analysis (AI/LLM Use Cases)
LLM Architecture (Cloud, Edge)
AI Stack Evaluation (e.g., Bedrock, LangChain)
Generative AI Integration
Agile Leadership (SAFe/Scrum)
AI Governance / Compliance

We are looking forward to hearing back from you. Have a great day!

Your wynwood tech Recruiting Team ;-)

Direkt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in home office erhalten

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