Manager
Manager
Posted on :
05-04-2025
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1 Vacancy
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Job Description
Cloud Data Scientist/Engineer
- Develop and deploy Machine Learning models for predictive analytics classification clustering NLP or computer vision applications
- Design develop and maintain cloudbased ETL (Extract Transform Load) workflows to support AI and analytics pipelines
- Build and optimize data lakes data warehouses and realtime data processing systems using cloud services such as AWS Redshift Azure Synapse or Google BigQuery
- Deploy ML models using MLOps best practices ensuring scalability and automation in cloud environments.
- Extract and transform data from various sources ensuring data integrity and consistency.
- Run and optimize existing data models identifying opportunities for enhancements.
- Modify update and maintain data pipelines and workflows as per business requirements.
- Collaborate with data analysts and business stakeholders to support reporting and analytics needs
Tools and skills:
- Masters or Bachelors degree in data science Computer Engineering Math Statistics Economics or related analytics field from toptier universities with strong record of achievement
- 4 years experience with solid analytical skills and an entrepreneurial handson approach
- Handson experience with at least one major cloud provider:
- AWS (SageMaker Lambda Glue Redshift S3 Step Functions)
- Azure (ML Studio Data Factory Synapse Blob Storage Azure Functions)
- GCP (Vertex AI Dataflow BigQuery Cloud functions)
- Proficiency in Python SQL or other programming languages
- Familiarity with Machine Learning Frameworks such as TensorFlow PyTorch Scikitlearn or XGBoost
- Experience deploying ML models using CI/CD pipelines Docker and Kubernetes
- Handson experience with cloud data lakes and warehouses (BigQuery Snowflake Redshift Synapse)
- Preferred domain expertise in Retail and CPG
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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