Senior MLOps Engineer / Data Scientist
Luxoft · Mumbai · onsite · Posted 51d ago
Undisclosed8–10 yrsfulltimeSourced from
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About this role
Job Summary
Location - pune,mumbai,chennai,banagalore
We are seeking a highly skilled Senior MLOps Engineer / Data Scientist with a strong background in the Retail industry and Order-to-Cash (O2C) domains. The ideal candidate brings extensive development experience, including a deep foundation in programming and automation. In this role, you will bridge the gap between data science and production engineering. You will design, build, and maintain end-to-end Machine Learning pipelines. You will leverage Snowflake ML and Python to deploy scalable models. You will also use Azure DevOps for robust CI/CD automation. Additionally, you will translate complex data into actionable business insights using Power BI.
Responsibilities - End-to-End MLOps: Design, deploy, and monitor scalable ML pipelines from data ingestion to model deployment and retraining.
- Snowflake ML Development: Utilize Snowpark, Snowflake Cortex AI, and Model Registry to build and manage in-data-warehouse machine learning solutions.
- Pipeline Automation: Build and maintain CI/CD pipelines using Azure DevOps for seamless, automated model deployment and testing.
- Domain Analytics: Apply ML models to optimize the Order-to-Cash (O2C) lifecycle, improving cash application, billing efficiency, and credit risk assessments.
- Retail Solutions: Deliver data-driven solutions for retail use cases, including demand forecasting, inventory management, and customer analytics.
- Business Intelligence: Create interactive Power BI dashboards and data models to translate complex ML outputs into clear executive insights.
- Python Expertise: Minimum of 5+ years of hands-on, professional Python development experience writing clean, production-grade code.
- Snowflake Ecosystem: Hands-on experience with Snowflake ML tools (Snowpark, Cortex AI, or Feature Store).
- DevOps Tools: Proven experience with Azure DevOps, Git, and automated CI/CD workflows.
- BI Tools: Strong knowledge or experience with Power BI, including DAX and data modeling techniques.
- Domain Experience: Deep understanding of the Retail industry and functional knowledge of the Order-to-Cash (O2C) process.
- Education: Bachelor"s or Master"s degree in Computer Science, Data Science, Statistics, or a related field.
- 9+ years of Domain Experience: Retail Industry, Demand forecasting, Inventory optimization, Customer analytics, Order-to-Cash (O2C) Billing, Cash application
- Azure Machine Learning
- Docker
- Kubernetes
- MLflow
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- PyTorch
- Snowflake SQL
- ETL/ELT
- Data Warehousing
- Azure Data Factory
- Power Query
- Time Series Forecasting
- Demand Forecasting
- Inventory Management
- Customer Analytics
- Credit Risk Analytics
- REST APIs
- PyTest
- Agile/Scrum
- Statistics
- Feature Engineering
- Experiment Tracking
Location - pune,mumbai,chennai,banagalore
Sourced from naukri
Skills
AutomationAzure DevopsAgileData ingestionCI/CD PipelinesAzure Machine Learningapisbi toolsbusiness insightsCash Applicationcustomer analyticsAnalyticscredit riskAzure Data FactoryMicrosoft AzureBusiness IntelligenceArtificial Intelligence
About Luxoft
Luxoft
IT Services & Consulting
2.3k+
employees
2000
26 years old
Zug, Switzerland
Switzerland
About
Luxoft offers the full spectrum of enterprise technology services, from modernizing legacy IT systems to delivering digital transformation at scale.
Industries
IT Services & Consulting
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