Job role- Python, Machine learning

Location - Amsteram, Netherlands

Job Description:

Key Responsibilities

• Develop and maintain scalable ML pipelines using Python and Scikit-Learn.
• Build and integrate LLM-based applications using LangChain and related frameworks.
• Design data workflows using Pandas, NumPy, and BigQuery for efficient data processing.
• Collaborate with cross-functional teams to deploy models and services in production.
• Optimize performance, reliability, and scalability of ML systems.
• Implement CI/CD pipelines for ML deployment and monitoring.
• Contribute to internal tooling and automation for model lifecycle management.
• Ensure compliance with data governance, privacy, and security standards.

Required Skills & Qualifications:

• 5+ years of professional experience in Python development, with a strong focus on data and ML applications.
• 2+ years of hands-on experience with LangChain and LLMs (e.g., VertexAI).
• 3+ years working with Pandas, NumPy, and data manipulation techniques.
• 3+ years of experience with Google BigQuery or similar cloud data platforms.
• 3+ years of experience building ML models using Scikit-Learn, including deployment and monitoring.
• Experience with Docker, Kubernetes, and CI/CD pipelines in production environments.
• Solid understanding of SQL and exposure to NoSQL systems.
• Familiarity with ML lifecycle tools (e.g., MLflow, DVC) and software engineering best practices.

Preferred Qualifications

• Experience with ADK (Agent Development Kit) or Agent Engine for building intelligent agents.
• Exposure to MLOps practices and tools.
• Experience with TensorFlow, PyTorch, or other deep learning frameworks.
• Familiarity with cloud platforms (GCP).
• Knowledge of data streaming technologies (Kafka, Pub/Sub).
• Strong problem-solving skills and ability to work in agile, cross-functional teams.