Principal AI/ML Engineer (Remote)
WhatJobs Direct
About the role
Principal AI/ML Engineer (Remote) – Join an Innovative Team Shaping the Future of AI
Our client is looking for a highly‑qualified Principal AI/ML Engineer to design, develop, and deploy cutting‑edge machine‑learning solutions. This fully remote role is perfect for a seasoned professional who thrives on solving complex problems with AI and wants to work on breakthrough projects from the comfort of home.
Key Responsibilities
Model Development & Optimization
Design, train, and fine‑tune ML/DL models for a variety of use‑cases (NLP, computer vision, predictive analytics, etc.).Scalable AI Architecture
Build end‑to‑end, cloud‑native AI pipelines on AWS, Azure, or GCP, ensuring they are production‑ready and highly scalable.Algorithm & Framework Selection
Evaluate and choose the most suitable algorithms and libraries (TensorFlow, PyTorch, Scikit‑learn, etc.) for each project.Feature Engineering & Data Preparation
Conduct thorough data wrangling, feature extraction, and preprocessing to feed robust models.MLOps Implementation
Apply best‑in‑class MLOps practices for model deployment, monitoring, versioning, and continuous improvement.Research & Innovation
Stay ahead of emerging AI technologies, assess their relevance, and prototype novel approaches.Cross‑Functional Collaboration
Partner closely with data scientists, software engineers, and product managers to align AI strategy with business goals.Technical Leadership & Mentoring
Guide junior engineers and data scientists, conduct code reviews, and foster a culture of excellence.Documentation & Communication
Produce clear documentation of models, pipelines, and processes; present findings and technical concepts to internal and external stakeholders.
Your Profile
| Requirement | Details |
|---|---|
| Education | Master’s or Ph.D. in Computer Science, AI, Data Science, or a related quantitative field |
| Experience | ≥ 8 years in machine learning / deep learning, with a proven track record of shipping production‑grade AI systems |
| Programming | Expert‑level Python (or comparable language) and deep familiarity with ML libraries |
| Cloud Expertise | Hands‑on experience with AWS, Azure, or GCP AI/ML services (SageMaker, Vertex AI, Azure ML, etc.) |
| Software Engineering | Strong grasp of algorithms, data structures, design patterns, and clean‑code principles |
| Big‑Data (optional) | Experience with Spark, Hadoop, or similar ecosystems is a plus |
| Analytical Skills | Exceptional problem‑solving abilities and data‑driven decision making |
| Communication | Ability to convey complex technical ideas clearly to both technical and non‑technical audiences |
| Teamwork | Self‑motivated, organized, and comfortable collaborating in distributed teams |
| Language | Fluent English (written & spoken) – required |
What We Offer
- Fully Remote Work – Contribute to groundbreaking AI projects from anywhere in the world.
- Competitive Compensation – Attractive salary package aligned with market standards.
- Dynamic, Collaborative Environment – Work alongside top‑tier talent in a culture that encourages innovation.
- Professional Growth – Access to cutting‑edge tools, continuous learning opportunities, and the chance to shape AI strategy at a strategic level.
If you are an AI/ML expert eager to push the boundaries of what’s possible and thrive in a remote, high‑impact setting, we want to hear from you. Apply now to become a key driver of our client’s AI vision!
Requirements
- Master-Abschluss oder Promotion in Informatik, KI, Data Science oder einem verwandten quantitativen Feld.
- Mindestens 8 Jahre relevante Berufserfahrung im Bereich Machine Learning und Deep Learning.
- Nachgewiesene Erfolgsbilanz in der Entwicklung und Bereitstellung von Produktions-KI-Systemen.
- Sehr gute Kenntnisse in mindestens einer relevanten Programmiersprache (Python bevorzugt) und ML-Bibliotheken.
- Umfassende Erfahrung mit Cloud-Plattformen und deren KI/ML-Services.
- Starkes Verständnis von Algorithmen, Datenstrukturen und Software-Engineering-Prinzipien.
- Erfahrung mit Big-Data-Technologien (Spark, Hadoop) von Vorteil.
- Hervorragende analytische Fähigkeiten und Problemlösungskompetenz.
- Sehr gute Kommunikationsfähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu vermitteln.
- Eigeninitiative, Selbstorganisation und die Fähigkeit, effektiv in einem verteilten Team zu arbeiten.
- Fließende Englischkenntnisse sind unerlässlich.
Responsibilities
- Entwicklung, Training und Optimierung von Machine Learning Modellen für diverse Anwendungsfälle, wie z.B. Natural Language Processing, Computer Vision oder Predictive Analytics.
- Konzeption und Implementierung von skalierbaren KI-Lösungen und Pipelines im Cloud-Umfeld (AWS, Azure, GCP).
- Bewertung und Auswahl geeigneter ML-Algorithmen und Frameworks (TensorFlow, PyTorch, Scikit-learn).
- Durchführung von Feature Engineering und Datenaufbereitung für ML-Modelle.
- Implementierung von MLOps-Praktiken für Deployment, Monitoring und Wartung von KI-Modellen.
- Forschung und Bewertung neuer KI-Technologien und -Methoden.
- Enge Zusammenarbeit mit Data Scientists, Software Engineers und Product Managern zur Umsetzung von KI-Strategien.
- Technische Leitung und Mentoring von Junior-Ingenieuren und Data Scientists.
- Dokumentation von Modellen, Algorithmen und Prozessen.
- Präsentation von Ergebnissen und technischen Konzepten vor internen und externen Stakeholdern.
Skills
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