Gazelle Global
Lead Machine Learning Engineer
Bradford
Posted about 23 hours ago
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The Role
Customer is expecting a lead the ML engineers to work closely with architects on building Deployment Environment and Enterprise Launching of a set of Models
Your responsibilities
- Work closely with clients Data Team on building Deployment Environment and Enterprise Launching of a set of Models [Predictive/Text-Embedding/Foundation etc]
- Build the Deployment Maturity with ML pipelines
- Monitoring and Operations Support of the Models
- Work closely with the Client's Data Science Team and Process Innovation Team to understand and improve the ways of working.
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Your Profile
- Professional Knowledge on building ML Pipelines in Kubeflow, TFX using vertex AI as Orchestration layer.
- SDLC Maturity on Model Deployment & Monitoring
- Professional Knowledge in Python
- Maturity in Model Deployments which includes Data Preprocessing, Optimization & Training, Serialization if needed.
- AB Testing of Models
- GCP Knowledge
- CICDCT of Models
- Expertise in implementing and maintaining Container Registry, Artefact Registry for the ML models.
- Expertise in Code coverage and static code analysis tools like Pylint.
- Expertise in CML [Continuous Machine Learning] to implement CICD in ML Models.
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Desirable skills/knowledge/experience
- DevSecOps knowledge
- Excellent communication skill
- External certification in ML/Data Science.
- Data Science Project experience.
- Any certifications in Python, DevOps
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Skills
Kubeflow
TFX
Vertex AI
Python
Model Deployment
ML Pipelines
AB Testing
GCP
CI/CD
Container Registry
Artefact Registry
Pylint
CML
DevSecOps
Data Preprocessing
Model Monitoring