ML Lead
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Design end-to-end AI/ML architectures including data ingestion model development training
deployment and monitoring.
Evaluate and select appropriate ML algorithms frameworks and cloud platforms (e.g. Azure
Snowflake).
Guide teams in model operationalization (MLOps) versioning and retraining pipelines.
Ensure AI/ML solutions align with business goals performance and compliance requirements.
Collaborate with cross-functional teams on data strategy governance and AI adoption roadmap.
Preferred Qualifications:
Strong background in Computer Science Data Science or a related field.
8 years of experience in data science with at least 2 years in a solution architecture role.
Proficiency in Python ML libraries and cloud-native services.
Experience with large-scale model deployment and performance tuning.
deployment and monitoring.
Evaluate and select appropriate ML algorithms frameworks and cloud platforms (e.g. Azure
Snowflake).
Guide teams in model operationalization (MLOps) versioning and retraining pipelines.
Ensure AI/ML solutions align with business goals performance and compliance requirements.
Collaborate with cross-functional teams on data strategy governance and AI adoption roadmap.
Preferred Qualifications:
Strong background in Computer Science Data Science or a related field.
8 years of experience in data science with at least 2 years in a solution architecture role.
Proficiency in Python ML libraries and cloud-native services.
Experience with large-scale model deployment and performance tuning.
