Netradyne

3 months ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead the design, development, and scaling of production-grade ML and data platforms that power Netradyne's AI-powered fleet analytics. You will own end-to-end data pipelines, generative AI capabilities, and real-time streaming across cloud and edge environments, collaborating with ML engineers, data scientists, and product teams to deliver actionable insights and edge-enabled intelligence.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions.
•Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
•Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
•Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
•Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.

Key Requirements

•5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.

Experience:5-8 yearsAIMLData engineeringEdge computingCloud

Education:Bachelor's

Skills:PythonSQLETL/ELTData modelingMachine learningGenerative AILLMsRAGData pipelinesMLOpsCI/CDModel deploymentData governanceAirflowKubernetesDockerKafkaKinesisS3Lambda

Languages:English

Tech Stack:TableauGrafanaPlotly DashApache KafkaAmazon KinesisAmazon SQSDockerKubernetesPythonFastAPIDjangoFlaskStreamlitGradioDashPyTorchTensorFlowHugging Face TransformersSnowflakeRedshift

Company Brief

Netradyne

Provides AI-driven fleet safety and driver performance solutions using computer vision and edge analytics to monitor driving behavior, prevent collisions, and optimize fleet operations for commercial vehicle operators.

Industry: Logistics

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2015

Website

Loading job details...

Preparing the role view and application actions.

Netradyne

3 months ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions.
•Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
•Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
•Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
•Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.

Key Requirements

•5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.

Experience:5-8 yearsAIMLData engineeringEdge computingCloud

Education:Bachelor's

Skills:PythonSQLETL/ELTData modelingMachine learningGenerative AILLMsRAGData pipelinesMLOpsCI/CDModel deploymentData governanceAirflowKubernetesDockerKafkaKinesisS3Lambda

Languages:English

Tech Stack:TableauGrafanaPlotly DashApache KafkaAmazon KinesisAmazon SQSDockerKubernetesPythonFastAPIDjangoFlaskStreamlitGradioDashPyTorchTensorFlowHugging Face TransformersSnowflakeRedshift

Company Brief

Netradyne

Industry: Logistics

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2015

Website