Staff Data Engineer - Machine Learning

Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road.

Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries.

Role and Responsibilities

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You will be embedded within a team of machine learning engineers and data scientists; responsible for building and productizing generative AI and deep learning solutions. You wil

• l:Design, develop and deploy production ready scalable solutions that utilizes GenAI, Traditional ML models, Data science and ETL pipelin
• esCollaborate with cross-functional teams to integrate AI-driven solutions into business operation
• s.Build and enhance frameworks for automation, data processing, and model deploymen
• t.Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solution
• s.Conduct research and stay updated with the latest advancements in generative AI and related technologie
• s.Deliver key product features within cloud analytic

s.
Requiremen

• ts:
  Tech, M. Tech or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Maths, Operations Research or related dom
• ain.Strong programming skills in Python, SQL and solid fundamentals in computer science, particularly in algorithms, data structures, and
• OOP.Experience with building end-to-end solutions on AWS cloud in
• fra.Good understanding of internals and schema design for various data stores (RDBMS, Vector databases and NoS
• QL).Experience with Gen-AI tools and workflows, and large language models (LL
• Ms).Experience with cloud platforms and deploying models at sc
• ale.Strong analytical and problem-solving skills with a keen attention to det
• ail.Strong knowledge of statistics, probability, and estimation the

o

ry. Desired Ski

• lls:Familiarity with frameworks such as PyTorch, TensorFlow and Hugging F
• ace.Experience with data visualization tools like Tableau, Graphana, Plotly-D
• ash.Exposure to AWS services like Kinesis, SQS, EKS, ASG, lambda …
• etc.Expertise in at least one popular Python web-framework (like FastAPI, Django or Fla
• sk).Exposure to quick prototyping using Streamlit, Gradio, Dash …
• etc.Exposure to Big Data processing (Snowflake, Redshift, HDFS,