Staff Data Scientist

About Us

With its headquarters in Bangalore and San Diego, Netradyne s Driver I assists organizations in enhancing safety, boosting driver retention, increasing profitability, and facilitating transparency

Job Title:

Experience:

Job Responsibilities:

As a Staff Data Scientist, you will be an integral member of our cross-functional team consisting of Data Scientists, Engineers, and Analysts. Your primary responsibilities will include:

• Collaborating closely with cross-functional teams to identify and implement data-driven solutions addressing key business challenges.


• Applying advanced statistical methods, machine learning and deep learning techniques to uncover trends, patterns, and anomalies in large-scale datasets.


• Design, develop and deploy production ready scalable solutions on edge, cloud or both (hybrid) that utilizes Signal Processing, Gen-AI, DNN, Traditional ML models or/and data-driven rules.


• Creating robust frameworks and tools to automate and enhance data mining, labeling, model training, and validation processes for internal ML/DL initiatives.


• Conducting studies, setting up automation tools and frameworks, and regularly publishing internal and external KPI audits.

Requirements:

• B. Tech, M. Tech or PhD in Data Science, Computer Science, Electrical Engineering, Operations Research, Statistics, Mathematics or a related area.


• Strong foundational knowledge in Statistics, Probability Theory, Machine Learning, Gen-AI and Signal Processing.


• Excellent programming skills Python(required) and C++ (desired), with strong fundamentals in object-oriented programming, algorithms, and data structures.


• Hands-on experience in handling edge deployments targeting various HW platforms.


• Good understanding of database internals and schema design for relational (RDBMS) and non-relational (NoSQL) data stores.


• Exposure to AWS cloud services, including Kinesis, SQS, EKS, Auto Scaling Groups, etc.


• Knowledge of best practices in software development, including version control, testing, and continuous integration.

Desired skills:

• Worked with Pytorch , Transformers, sklearn or similar ML/ DL packages.


• Proficient in Python programming


• Experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX.


• Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc.


• Experience with MLOps tools and practices for continuous deployment and monitoring of AI models.