Title: Software Engineer

Location:

Bangalore, Karnataka, IN

Requisition ID: 134826

Job Summary

Job Summary: Member of Active IQ Analytics practice

NetApp’s Active IQ leverages the power of predictive, prescriptive analytics and enables customers and partners to automate data center operations, achieve low TCO and avoid issues before they become reality. Today, 98% of technical issues with NetApp products are automatically identified by Active IQ with prescriptive steps to avoid the issue – and we simply want to do better and more.

As a member of the Active IQ Analytics practice, you will analyze product telemetry data, customer transactions data and build analytical models for solving high value business problems such as – identification of cross-sell/ upsell opportunities, prediction of customer lifecycle events, enhancing storage infrastructure durability and enabling always-on always-available storage ecosystems. Every day, half million active IOT end points feed the Active IQ multi-petabyte data lake with structured and unstructured data. That’s the data pool you will use to enhance NetApp’s world class capabilities.

Job Requirements

Job Requirements:

3+ Years of experience in Data Science & Statistics/ Mathematics or related field
Hands-on experience in designing, developing, and deploying both classical machine learning (at least some supervised, unsupervised modeling techniques such as Logistic/Linear Regression, Clustering, Decision Trees, Neural Networks/ Deep Networks, etc) and Generative AI applications
Strong expertise in feature engineering, model evaluation, and hyperparameter tuning and hands-on experience working with agentic AI components, including LLMs, reasoning frameworks, memory, and tool integration.
Proficiency in AI/ML scripting, programming language – Python, R, Unix Scripting
Hands-on skills in developing SQL queries/scripts and managing relational, NOSQL databases and experience in Vector Database and optimization (Milvus, qdrant etc)
Good understanding of big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing
Experience with ML libraries and frameworks: PyTorch/ TensorFlow/ Keras/ Open AI, LangChain etc.
Experience working in Linux, AWS/Azure/GCP, Kubernetes – Control plane, Auto scaling, orchestration, containerization

Skills Required:

ML libraries and frameworks: PyTorch/ TensorFlow/ Keras/ Open AI, LangChain/Langraph etc.
MLops and LLMOps Tool: MLFlow, Weights and Bias
Cloud Platforms: AWS SageMaker, Azure Cloud services
Model Deployment and Serving Experience – Docker/Kubernetes, Flask

Education

Bachelor’s degree in engineering/ statistics/ data science (or related). Master’s degree is a plus

Strong oral, written communication skills and ability to communicate across data science team