Work mode: Remote
Exp: 6-10 Years
Shift timings: Start around 7:00–7:30AM
Contract duration: 6 Months
Requirements:
Responsibilities
Design, build, and deploy ML models for forecasting, churn prediction, and demand analytics
Develop custom analytics solutions tailored to business-specific requirements
Collaborate with engineering teams to productionize models via AWS SageMaker pipelines
Leverage Amazon Bedrock to explore and integrate foundation models into analytics workflows
Translate complex model outputs into actionable insights for non-technical stakeholders
Continuously monitor, evaluate, and improve model performance in production
Contribute to data infrastructure, feature stores, and MLOps best practices
Domain expertise — at least one required
Time series modelling using frameworks like Prophet, ARIMA, LSTM, or similar
Customer behaviour analysis, retention modelling, and survival analysis
Supply chain or inventory demand forecasting at scale
AWS & cloud requirements — mandatory
AWS SageMaker
Amazon Bedrock
S3 / Glue / Athena
Lambda / Step Functions
Build, train, and deploy ML models using SageMaker — including pipelines, model registry, and endpoints
Work with Amazon Bedrock APIs to evaluate, fine-tune, or integrate foundation models
Experience with AWS data services: S3, Glue, Athena, and Redshift for data access and transformation
Familiarity with IAM roles, VPC configurations, and cloud security practices for ML workloads
Pay: ₹80,000.00 - ₹100,000.00 per month
Experience:
- AWS Sage maker: 6 years (Required)
- Amazon Bedrock: 6 years (Required)
- Athena: 4 years (Required)
Work Location: Remote
