
Scalable AI Specialist
3 days ago
Job Title: Scalable AI Specialist
At Genista Biosciences, we are seeking a highly skilled and experienced professional to lead the design, build, and deployment of cutting-edge machine learning models that power our innovative food safety platform.
Key Responsibilities:
- Develop and train scalable machine learning models for real-world biotech applications using Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and MLOps tools (Docker, Kubernetes, CI/CD)
- Collaborate with cross-functional teams including data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions
- Optimize model performance and ensure reliability in large-scale production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Integrate ML models into applications and APIs with backend teams
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), and MLOps tools (Docker, Kubernetes, CI/CD)
- Experience deploying models at scale (cloud platforms: AWS/GCP/Azure)
- Knowledge of software development best practices and algorithms
- Experience with scientific/biotech/healthcare data is a plus
What We Offer:
- 100% remote work arrangement
- Opportunity to apply AI in high-impact biotech solutions
- Autonomy, innovation, and ownership in a startup culture
Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology.
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