At Polymerize, we provide materials informatics software for materials companies to accelerate their product development and efficiently manage data while bringing operational efficiency and AI driven material innovation to their R&D. We work at the intersection of AI and materials science and use our years of material research & experience background.
We are looking for an experienced MLOps Engineer to join our team.
Experience : 2+ Years
Our expectations from you
- Design and implement APIs for serving Machine Learning models and business logic
- Implement pipelines for data ingestion, validation/cleaning, storage, and wrangling in MongoDB
- Automate MLOps and backend processes using third-party tools
- Develop and automate internal workflows to allow seamless data access to Data Scientists and Research Scientists
Technical Skills Required
- Programming Languages: Python, Bash, YAML
- Web Framework: FastAPI (preferred) or Flask, Websockets
- ML Tools: NumPy, Pandas, SciKit-Learn
- Databases: NoSQL (MongoDB preferred), Redis
- Version Control: Git
- Databases: MongoDB, Redis
- Cloud: AWS Ecosystem
- Deployment Tools: Docker, GitHub Actions, Kubernetes
Abstract Skills:
- Hands-on experience in design and implementation of APIs
- Hands-on experience in development, training, and deployment of ML models
- Knowledge of micro-service architectures with containerization, load balancers, web servers, application servers and databases
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