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 domainAbility to read, write, speak, and understand English.Experience with building data pipelines (Kubeflow, sklearn pipelines, etc.).Experience with building and deploying REST APIs (Flask, FastAPI5+ 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 lifecyclesExperience with Bash scriptingNo 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