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ML & Automation Manager MLOps, AI, Agentic AI, Azure, AWS Remote / Dublin
Diverse CG Sp. z o.o. Sp.k.
Dublin
Senior MLOps Engineer Public Sector (w/m/d)
Capgemini
Altdorf und Umgebung+ 2 weitere
75.000–95.000 € brutto/Jahr
Python + MLOps Engineer - Remote Work · REF#305049
BairesDev
Rio de Janeiro
65.000–85.000 € brutto/Jahr
Senior Solution Architect, MLOps - AI Factory
NVIDIA Corporation
Senior MLOps Engineer - DSX Enablement
NVIDIA Corporation
ML & Automation Manager MLOps, AI, Agentic AI, Azure, AWS Remote / Dublin
Anzeige auf Englisch
ArbeitsortDublin
HomeofficeKeine Angabe
ML & Automation Manager
Responsibilities
- Leading machine learning and process automation projects from the concept phase through to production deployment
- Collaborating with clients to identify areas with high potential for transformation using ML, AI, and automation
- Designing and implementing ML models using modern frameworks and analytical tools
- Delivering solutions in cloud environments (Azure, AWS, others) with a focus on scalability and reliability
- Ensuring solutions comply with Responsible AI principles, data ethics, and privacy protection
- Clearly communicating analysis results and recommendations to business and technical stakeholders
- Managing, mentoring, and developing teams of ML engineers and automation specialists
- Ensuring high-quality project deliverables and timely completion of objectives
- Co-creating the ML & Automation competency development strategy within the Data & AI team
- Building and developing a repository of reusable assets, accelerators, and architectural patterns
- Providing technical input for proposals, offers, and presales, including defining architecture and estimates
- Monitoring market and technology trends (ML, GenAI, Agentic AI, automation)
- Knowledge sharing – internal and external thought leadership
Requirements
- At least 5+ years of experience in designing and implementing solutions in the areas of machine learning, advanced analytics, and process automation
- Experience with ML/AI deployments in at least one public cloud
- Knowledge of modern ML frameworks and analytical tools
- Practical knowledge of MLOps and the ML model lifecycle
- Understanding of Responsible AI principles, data ethics, and governance
- Excellent analytical, communication, and presentation skills
- Experience with project work in an agile environment and cross-functional teams
- Bachelor's degree (preferably in a technical field); postgraduate studies or AI/ML certifications are a plus
- Experience in designing AI architectures or Agentic AI – a major asset
Offer
- Private medical care
- Co-financing for the sports card
- Training & learning opportunities
- Constant support of dedicated consultant