Senior MLOps Engineer / Data Scientist

About the Position

We are seeking an experienced Senior MLOps Engineer / Data Scientist to lead the design, development, and deployment of advanced AI, Machine Learning, and Supply Chain Analytics solutions. The role will focus on solving complex business challenges across Supply Chain, Demand Planning, Inventory Optimization, Logistics, Warehousing, Sales, and Distribution through predictive analytics, optimization techniques, and AI-driven decision support systems.

The ideal candidate will have strong expertise in Python, Machine Learning, Forecasting, Optimization Models, Snowflake ML/Databricks ML, Azure ML, and MLOps practices, along with proven experience delivering enterprise-scale analytics solutions. The candidate will collaborate with business stakeholders, architects, data engineers, and leadership teams to implement scalable analytical platforms that improve operational efficiency, forecasting accuracy, inventory management, and business performance.

Additionally, the role will drive innovation through Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Agentic AI solutions, enabling intelligent automation and next-generation business insights.

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.

Requirements

• 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.

Nice to Have

• 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

We Offer

• Competitive salary
• Opportunity to work remotely from India
• Professional growth and development opportunities

About the Company

DXC Luxoft is a leading global provider of digital transformation and technology services, helping clients across various industries to innovate and grow. We are committed to delivering cutting-edge solutions and fostering a culture of excellence and continuous improvement.

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