
Intelligent Food Safety Solutions Architect
3 days ago
Our goal is to craft cutting-edge solutions in machine learning that will revolutionize the food safety sector. We are seeking an experienced Machine Learning Engineer who will lead our team in designing, developing, and deploying scalable ML models.
The ideal candidate will have a strong background in Python, proficiency in leading-edge frameworks such as TensorFlow and PyTorch, and hands-on experience with MLOps tools like Docker and Kubernetes.
Key Responsibilities:
- Develop and deploy production-ready machine learning models that meet our high standards for scalability and reliability
- Collaborate closely with data scientists, engineers, and domain experts to turn business requirements into actionable ML solutions
- Work on optimizing model performance, fine-tuning their architecture, and ensuring seamless integration into our existing applications
Requirements:
- 4-6 years of experience as an ML Engineer or a similar role
- Strong expertise in software engineering principles, data structures, and algorithms
- Experience working with scientific/biotech/healthcare data preferred but not required
Benefits:
- 100% remote work arrangement
- A highly competitive salary package
- Ongoing training and professional growth opportunities
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