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Managing Consultant Tech Parallel Consulting - Europe
Responsibilities
* Design, develop, and deploy machine learning models for real-world business use cases
* Preprocess and analyze large datasets to extract actionable insights
* Collaborate with data scientists, engineers, and stakeholders to define ML project scope and objectives
* Optimize model performance and ensure scalability in production environments
* Maintain clear documentation and communicate findings to both technical and non-technical audiences
* Monitor and troubleshoot model performance post-deployment
* Stay up-to-date with latest ML tools, trends, and best practices
Requirements
* Proven experience as a Machine Learning Engineer or similar role
* Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
* Hands-on experience with data pipelines, model training, evaluation, and deployment
* Solid understanding of statistics, data structures, and algorithms
* Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
* Experience with MLOps tools is a plus (e.g., MLflow, DVC, Airflow)
* Ability to work independently and manage time effectively in a hybrid work setting
* Fluent in English; French or Dutch is a plus
Nice to Have
* Experience with NLP, computer vision, or time series forecasting
* Background in data engineering or software development
* Previous work in finance, healthcare, or logistics sectors
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Other
* Industries
IT Services and IT Consulting
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