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Job Description
- Founded in 2015, Netradyne is a technology company that specializes in Artificial Intelligence, Deep Learning, and Edge Computing to provide innovative solutions to the transportation industry. With technology already implemented in thousands of vehicles ranging from passenger cars to semi-trailers, Netradyne aims to enhance safety on interstates, suburban roads, rural highways, and even off-road terrains.
Netradyne is currently seeking skilled engineers to join the Analytics team, which consists of talented graduates with a strong educational background. The team focuses on developing cutting-edge AI solutions to identify unsafe driving situations in real-time, ultimately preventing accidents and reducing fatalities and injuries.
As a part of the Analytics team, you will work alongside machine learning engineers and data scientists to create and deploy scalable solutions utilizing GenAI, Traditional ML models, Data science, and ETL pipelines. Your responsibilities will include designing, developing, and implementing production-ready solutions, collaborating with cross-functional teams to integrate AI-driven solutions, building automation frameworks, and staying abreast of advancements in generative AI technologies.
Key Responsibilities:
- Design, develop, and deploy production-ready scalable solutions leveraging GenAI, Traditional ML models, Data science, and ETL pipelines.
- Collaborate with cross-functional teams to integrate AI-driven solutions into business operations.
- Build and enhance frameworks for automation, data processing, and model deployment.
- Utilize Gen-AI tools and workflows to enhance the efficiency and effectiveness of AI solutions.
- Stay updated with the latest advancements in generative AI and related technologies.
- Deliver key product features within cloud analytics.
Requirements:
- Hold a degree in Tech, M. Tech, or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Maths, Operations Research, or a related domain.
- Proficient in Python and SQL with a strong foundation in computer science principles, algorithms, data structures, and OOP.
- Experience in developing end-to-end solutions on AWS cloud infrastructure.
- Familiarity with internals and schema design for various data stores (RDBMS, Vector databases, and NoSQL).
- Experience with Gen-AI tools, workflows, and large language models (LLMs).
- Proficient in cloud platforms and deploying models at scale.
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- Sound knowledge of statistics, probability, and estimation theory.
Desired Skills:
- Familiarity with PyTorch, TensorFlow, and Hugging Face frameworks.
- Experience with data visualization tools such as Tableau, Graphana, and Plotly-Dash.
- Exposure to AWS services like Kinesis, SQS, EKS, ASG, Lambda, etc.
- Expertise in at least one popular Python web framework (e.g., FastAPI, Django, or Flask).
- Exposure to quick prototyping using Streamlit, Gradio, Dash, etc.
- Familiarity with Big Data processing tools such as Snowflake, Redshift, HDFS, EMR.,
Skills
Artificial IntelligenceData VisualizationBig DataPythonCloud InfrastructureData ScienceDeep LearningEtlData ProcessingMachine LearningSnowflakeVisualizationLarge Language ModelsAnalyticsDjangoFlaskAiMlSqlData EngineerOOPBig Data ProcessingPython WebFrameworkStreamlitPyTorchProbabilityETL PipelinesAWS ServicesData ScienceDeep LearningPythonGraphanaAlgorithmsGenAIHugging FaceCloud PlatformsTableauData StructuresGradioStatisticsPlotlyDashMachine LearningAWSSQLTensorFlowIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
10 Oct 25, 04:39 PM IST
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