GeekSoft Consulting
AIML Engineer
GeekSoft ConsultingNetherlands1 day ago
Full-timeInformation Technology
  • Help design, build and continuously improve the clients online platform.
  • Research, suggest and implement new technology solutions following best practices/standards.
  • Take responsibility for the resiliency and availability of different products.
  • Be a productive member of the team.




Requirements

  • 8+ years in the Data Analytics domain workig as AI/ML Engineer – Center of Excellence (CoE)
  • Design, develop, and optimize scalable data pipelines and workflows to support advanced analytics and AI/ML initiatives.
  • Build and maintain enterprise-grade ML and AI engineering frameworks for high-performance, production-ready applications.
  • Collaborate with cross-functional teams (data, business, and IT) to deliver impactful, data-driven solutions.
  • Ensure adherence to data governance, security, compliance, and performance best practices.
  • Support infrastructure setup and deployment of analytics platforms and AI solutions (good to have).
  • Strong experience in designing and implementing robust data pipelines for structured and unstructured data.
  • Hands-on expertise in ETL processes, data modeling, and data warehousing.
  • Proficiency in SQL and NoSQL databases.
  • Experience building, training, tuning, and deploying ML models at scale.
  • Strong working knowledge of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Ability to optimize models for performance, scalability, and accuracy.
  • Develop AI-powered solutions for predictive analytics, automation, and intelligent decision-making.
  • Hands-on experience with Generative AI tools and frameworks.
  • Implement AI algorithms for NLP, computer vision, and recommendation systems.
  • Experience with cloud infrastructure setup (Azure preferred).
  • Knowledge of containerization technologies such as Docker and Kubernetes for ML/AI workloads.
  • Familiarity with CI/CD pipelines for data engineering and ML solutions.
  • Understanding of security, governance, and compliance standards in cloud environments.
  • GenAI/ML Expert with strong hands-on experience in designing, building, and deploying advanced machine learning and generative AI solutions, complemented by intermediate-level platform knowledge to effectively manage, integrate, and optimize enterprise technology environments.
  • Excellent communication and presentation skills.
  • Strong analytical and problem-solving abilities.
  • Proven ability to collaborate effectively within cross-functional teams.
  • Adaptable to fast-paced, dynamic environments.
  • Demonstrated leadership and mentoring capabilities.

Certifications (Preferred)


  • Databricks Certification
  • Microsoft Azure Certification



Benefits

  • A challenging, innovating environment.
  • Opportunities for learning where needed.


Key Skills

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