SA
Full time
🤖 AI / ML
Data and AI Engineer at Sandisk
Listed by DevShelfHub
Bangalore, India (PTP Office)
Hybrid
Mid-level · 4–6 yrs
About the Role
Sandisk is hiring a Data and AI Engineer in Bangalore to design scalable ETL/ELT pipelines, build data products on Databricks, and develop GenAI/LLM-powered solutions including RAG pipelines for enterprise data and AI workloads.
This role operationalizes ML models through MLOps on Azure, AWS, or GCP while implementing data quality, lineage, and governance controls across SAP, Oracle, and Salesforce enterprise data sources.
What you'll do
- Design, build, and maintain scalable data and AI solutions for enterprise workloads.
- Designing and maintaining ETL/ELT pipelines ingesting structured and unstructured data from SAP, Oracle, Salesforce, and APIs
- Developing and optimizing data products on Databricks with medallion architecture
- Implementing data quality, lineage, and governance controls
- Building, deploying, and monitoring ML models using Python, PySpark, scikit-learn, TensorFlow, or PyTorch
- Developing GenAI and LLM-powered RAG solutions with embeddings and vector databases (Pinecone, Azure AI Search)
- Operationalizing models through MLOps: CI/CD, versioning, drift monitoring, automated retraining (MLflow, Azure ML, SageMaker)
- Deploying and managing data/AI workloads on Azure, AWS, or GCP
What we're looking for
- 4–6 years in data engineering, ML engineering, or applied AI roles
- Proven track record of 2–3+ production-grade data or AI projects end-to-end
- Python, PySpark, scikit-learn, TensorFlow, or PyTorch
- Databricks and medallion architecture data products
Skills & Technologies
Required
4–6 years in data engineering, ML engineering, or applied AI roles
Proven track record of 2–3+ production-grade data or AI projects end-to-end
Python, PySpark, scikit-learn, TensorFlow, or PyTorch
Databricks and medallion architecture data products
GenAI/LLM RAG pipelines, embeddings, vector databases, prompt engineering
MLOps practices: CI/CD for ML, model versioning, drift monitoring, retraining
Cloud deployment on Azure, AWS, or GCP
Enterprise ERP data experience (SAP S/4HANA, Oracle) preferred
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build end-to-end data and AI pipelines from enterprise ERP ingestion through Databricks medallion architecture to production GenAI and MLOps deployments at a leading storage and data technology company.
- Design and maintain scalable ETL/ELT pipelines from SAP S/4HANA, Oracle, Salesforce, and APIs
- Develop and optimize data products on Databricks with medallion architecture
- Implement data quality, lineage, and governance with Purview, Alation, or Unity Catalog
- Build and deploy ML models for classification, regression, forecasting, and anomaly detection
- Develop GenAI and LLM solutions including RAG, embeddings, and vector databases
- Operationalize models through MLOps with CI/CD, versioning, drift monitoring, and retraining
- Deploy data/AI workloads on Azure, AWS, or GCP (ADF, Databricks, Glue, Kubernetes)
- Work with supply chain, procurement, and logistics analytics use cases
- Collaborate in a global diverse team ecosystem
- Deliver 2–3+ production-grade data or AI projects end-to-end
About Sandisk
Sandisk powers global innovation with storage and data solutions used across gaming, social media, cloud infrastructure, and enterprise platforms. The company fuels a brighter, smarter future through flash memory and data technologies supporting some of the largest and highest-growth organizations worldwide.
- Industry
- Technology
- Company Size
- 500+
- Website
- sandisk.com
🚀 Boost your chances
Skip the queue
Contact the recruiter directly at Sandisk and follow up personally — most applicants never do.
Browse Recruiter DatabaseFree trial · 40 contacts · ₹0
Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 4–6 years
- Location
- Bangalore, India (PTP Office)
- Work Mode
- Hybrid
- Category
- AI / ML
Share this Job
Recruiter Database
Want to stand out? Talk to the recruiter directly.
Most applicants never hear back. Our Recruiter Database gives you direct email access to the people making hiring decisions — so you can follow up personally and actually get noticed.
- Recruiter name, company & direct email address
- Sourced from active job postings across top companies
- Free trial — 40 contacts, no credit card needed