
AI Model Deployer
7 days ago
Deploy cutting-edge machine learning models with confidence and scalability. As a skilled Deployment Engineer, you will be responsible for packaging, deploying, and maintaining ML models and services in production environments.
Main Responsibilities- Model Packaging & Serving: Package machine learning models for deployment using frameworks such as MLflow and TorchServe, ensuring seamless model serving at scale.
- Cross-Functional Expertise: Develop APIs to serve predictions, automate testing, deployment, and monitoring of models in production environments, leveraging CI/CD practices and container orchestration tools.
- Strong Technical Foundation: Experience in model deployment using FastAPI, Flask, Streamlit, and model serving frameworks like MLflow or TorchServe.
- Automation Expertise: Proficiency in setting up observability for ML models (monitoring, logging, alerting) and integrating deployed models with production systems and APIs.
This is an ideal position for a highly motivated and technically skilled professional who thrives in a fast-paced, innovation-driven environment. The successful candidate will be part of a dynamic team that values collaboration and agility.
In addition to competitive salaries and benefits packages, our organization offers its employees unique and fun extras, including health benefits, work-life balance, incentives, and development opportunities.
The ideal candidate should have strong experience in model deployment, cross-functional expertise, automation skills, and a passion for innovation and teamwork.
We encourage applications from talented individuals who share our vision and values.
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AI Model Development Specialist
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Associate AI Model Developer
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Advanced AI Model Developer
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