
Data Scientist Leader
6 days ago
Machine Learning Engineer Opportunity
We are seeking a skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will design, build, and deploy scalable ML models that power cutting-edge food safety solutions.
Main Responsibilities:
- Design, train, and deploy scalable machine learning models for real-world applications
- Work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Collaborate with backend teams to integrate ML models into applications and APIs
Requirements:
- 2–5 years of experience as an ML Engineer or in a similar role
- Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience deploying models at scale (cloud platforms: AWS/GCP/Azure)
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)
- Solid understanding of data structures, algorithms, and software engineering best practices
- Experience with scientific/biotech/healthcare data is a plus
Benefits:
- 100% remote work environment allowing flexibility
- A fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology
- Autonomy, innovation, and ownership emphasized in the startup culture
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