Security jobs in Germany

BIG Pharmacy Healthcare Sdn Bhd – Klang, Selangor

Drive the organization’s AI initiatives through the design and implementation of intelligent systems and automation solutions.

Identify opportunities where AI can add business value and optimize existing processes.

Oversee the entire data pipeline, from data collection and cleaning to preprocessing and storage.

Ensure data integrity, consistency, and accessibility for machine learning and AI applications.

Collaborate with data engineers and analysts to create scalable and efficient data architectures.

Train, validate, and fine-tune machine learning models for optimal performance.

Evaluate models using appropriate metrics and perform error analysis to improve accuracy.

Deploy AI models into production environments and integrate them with existing applications or business systems.

Work with software development teams to integrate AI solutions into broader IT systems and enterprise platforms.

Continuously monitor AI systems in production, ensuring performance stability, fairness, and reliability.

Troubleshoot issues and retrain models as new data becomes available.

Collaborate with business stakeholders, project managers, and engineers to define AI strategies that align with organizational objectives.

Translate business challenges into technical solutions and communicate results effectively to non-technical audiences.

Stay current on the latest developments in AI, machine learning, and generative AI.

Explore and experiment with emerging technologies (e.g., LLMs, transformers, reinforcement learning).

Recommend new tools, techniques, and frameworks to enhance productivity and innovation in the digital health space.

Implement ethical and governance frameworks for responsible AI use.

Ensure transparency, fairness, and explainability in AI systems.

Address data privacy, bias mitigation, and security issues in model development and deployment.

Provide technical guidance to team members in AI, data science, and automation projects.

Conduct knowledge-sharing sessions and code reviews to promote best practices.

Foster a culture of continuous learning within the MIS or data team.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Prior experience deploying AI or ML models into production environments. Understanding of MLOps, DevOps, and CI/CD for machine learning pipelines. Knowledge of AI ethics, compliance, and responsible AI frameworks.
• Strong proficiency in Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of data management tools (SQL, Spark, Hadoop, Airflow). Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI/ML deployment.
• Analytical and problem-solving mindset. Excellent communication and collaboration abilities. Ability to manage multiple projects and meet deadlines. Passion for innovation and continuous learning.