Senior AIML Engineer (ID 3865)

STAFIDE

Job Location:

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 20 days ago

Vacancies: 1 Vacancy

Job Summary

As a Senior AI/ML Engineer you will:

Design develop and deploy scalable AI Machine Learning and Generative AI solutions for enterprise applications.
Build intelligent automation solutions predictive analytics models incident prediction systems root cause analysis engines and AI-powered knowledge assistants.
Develop production-grade Python applications APIs and microservices to expose AI capabilities across enterprise platforms.
Design and implement robust data ingestion preprocessing feature engineering and transformation pipelines for large-scale datasets.
Integrate AI/ML models into Azure DevOps CI/CD pipelines enabling automated model building testing deployment and monitoring.
Build and maintain MLOps pipelines to support continuous model training validation deployment versioning and lifecycle management.
Collaborate with DevOps platform engineering data engineering and product teams to deliver reliable scalable AI solutions.
Optimize AI models for accuracy scalability performance and operational efficiency within enterprise environments.
Ensure AI solutions comply with enterprise governance security audit and regulatory standards.
Participate in architecture discussions technical design reviews and continuous improvement initiatives for AI platforms.

What You Bring to the Table:

68 years of experience in Python development AI/ML engineering or enterprise software development.
Strong hands-on expertise in Python for developing scalable backend applications and AI solutions.
Experience designing training validating deploying and optimizing Machine Learning and Deep Learning models.
Practical experience building Generative AI applications AI Agents intelligent automation solutions or conversational AI systems.
Strong knowledge of Azure cloud services and Azure DevOps for enterprise application delivery.
Experience implementing CI/CD pipelines and MLOps workflows for AI model deployment and lifecycle management.
Strong understanding of data engineering concepts including data preprocessing feature engineering and pipeline orchestration.
Experience developing RESTful APIs and microservices to expose AI capabilities.
Familiarity with enterprise DevOps tools such as Azure DevOps Nexus Ansible and related automation frameworks.
Strong analytical problem-solving communication and stakeholder management skills.

You Should Possess the Ability to:

Design end-to-end AI solutions from concept through production deployment.
Build scalable maintainable and secure Python applications for enterprise environments.
Integrate AI capabilities seamlessly into DevOps and CI/CD ecosystems.
Design and maintain production-ready MLOps pipelines supporting continuous delivery of AI models.
Translate complex business challenges into practical AI-driven solutions.
Collaborate effectively with business stakeholders architects DevOps engineers and data teams.
Monitor troubleshoot and continuously improve AI model performance in production.
Ensure enterprise-grade governance security compliance and operational excellence throughout the AI lifecycle.

What We Bring to the Table:

Opportunity to work on enterprise-scale AI Machine Learning and Generative AI transformation initiatives.
Exposure to modern cloud-native architectures MLOps platforms and Azure DevOps ecosystems.
Collaborative environment involving AI engineers cloud architects DevOps specialists and business stakeholders.
Challenging projects focused on intelligent automation predictive analytics and enterprise AI innovation.
Opportunities for continuous learning technical leadership and professional growth.
A culture that values innovation engineering excellence and knowledge sharing.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Giftson Paul Davidson

Phone:; Extn : 151

E-mail:

LinkedIn: Skills:

As a Senior AI/ML Engineer you will: Design develop and deploy scalable AI Machine Learning and Generative AI solutions for enterprise applications. Build intelligent automation solutions predictive analytics models incident prediction systems root cause analysis engines and AI-powered knowledge assistants. Develop production-grade Python applications APIs and microservices to expose AI capabilities across enterprise platforms. Design and implement robust data ingestion preprocessing feature engineering and transformation pipelines for large-scale datasets. Integrate AI/ML models into Azure DevOps CI/CD pipelines enabling automated model building testing deployment and monitoring. Build and maintain MLOps pipelines to support continuous model training validation deployment versioning and lifecycle management. Collaborate with DevOps platform engineering data engineering and product teams to deliver reliable scalable AI solutions. Optimize AI models for accuracy scalability performance and operational efficiency within enterprise environments. Ensure AI solutions comply with enterprise governance security audit and regulatory standards. Participate in architecture discussions technical design reviews and continuous improvement initiatives for AI platforms. What You Bring to the Table: 68 years of experience in Python development AI/ML engineering or enterprise software development. Strong hands-on expertise in Python for developing scalable backend applications and AI solutions. Experience designing training validating deploying and optimizing Machine Learning and Deep Learning models. Practical experience building Generative AI applications AI Agents intelligent automation solutions or conversational AI systems. Strong knowledge of Azure cloud services and Azure DevOps for enterprise application delivery. Experience implementing CI/CD pipelines and MLOps workflows for AI model deployment and lifecycle management. Strong understanding of data engineering concepts including data preprocessing feature engineering and pipeline orchestration. Experience developing RESTful APIs and microservices to expose AI capabilities. Familiarity with enterprise DevOps tools such as Azure DevOps Nexus Ansible and related automation frameworks. Strong analytical problem-solving communication and stakeholder management skills. You Should Possess the Ability to: Design end-to-end AI solutions from concept through production deployment. Build scalable maintainable and secure Python applications for enterprise environments. Integrate AI capabilities seamlessly into DevOps and CI/CD ecosystems. Design and maintain production-ready MLOps pipelines supporting continuous delivery of AI models. Translate complex business challenges into practical AI-driven solutions. Collaborate effectively with business stakeholders architects DevOps engineers and data teams. Monitor troubleshoot and continuously improve AI model performance in production. Ensure enterprise-grade governance security compliance and operational excellence throughout the AI lifecycle. What We Bring to the Table: Opportunity to work on enterprise-scale AI Machine Learning and Generative AI transformation initiatives. Exposure to modern cloud-native architectures MLOps platforms and Azure DevOps ecosystems. Collaborative environment involving AI engineers cloud architects DevOps specialists and business stakeholders. Challenging projects focused on intelligent automation predictive analytics and enterprise AI innovation. Opportunities for continuous learning technical leadership and professional growth. A culture that values innovation engineering excellence and knowledge sharing. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Giftson Paul Davidson Phone:; Extn : 151 E-mail: LinkedIn: