What you will do :
- Actively and consistently support all efforts to simplify and enhance the customer experience.
- Leading a team of machine learning engineers to build, automate, and deploy ML models and pipelines in production.
- Enact ML best practices for the team to follow.
- Developing ML model pipelines from proof of concept to production.
- Documenting the work process, including pipeline set up, experiment execution, and model deployment.
- Monitoring performance of models in production.
- Collaborate with stakeholders to help meet their objectives and provide them with periodic status updates
What you will need :
- Graduate Degree -Computationally intensive domain
- Ability to read, write, speak, and understand English.
- Experience with building data pipelines (Kubeflow, sklearn pipelines, etc.).
- Experience with building and deploying REST APIs (Flask, FastAPI
- 5+ years of prior relevant work or lab experience in ML projects, and 2+ years as tech lead or team management experience.
- Advanced proficiency with Python and SQL (BigQuery / MySQL).
- Extensive knowledge of ML frameworks and libraries. (Feast, MLFlow, BentoML, etc.)
- Experience with cloud services (AWS / GCP), Docker, Kubernetes, and CI / CD pipelines.
- Monitor models performance and microservices health status in Production.
Preferred Qualifications :
- Experience with ML model development lifecycles
- Experience with Bash scripting
No immigration or work visa sponsorship will be provided for this position. #LI-RG1
Our Values
Trust & Transparency People First Positive Experiences Calm Persistence Never Settling
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