2 Plotlydash Jobs

About Netradyne: Netradyne, founded in 2015, is a technology company that specializes in leveraging expertise in Artificial Intelligence, Deep Learning, and Edge Computing to provide innovative solutions to the transportation industry. The company's technology is currently implemented in a multitude of vehicles, ranging from passenger cars to semi-trailers, operating on various types of roads including interstates, suburban roads, rural highways, and even off-road terrains. Netradyne is seeking talented engineers to join the Analytics team, which consists of graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, and UCSD. The team is dedicated to developing cutting-edge AI solutions that enable drivers and fleets to identify unsafe driving scenarios in real-time, thereby preventing accidents and reducing fatalities and injuries. Job Title: Staff Data Engineer - ML Experience: 5-8 years Role and Responsibilities: As a Staff Data Engineer specializing in Machine Learning, you will work closely with a team of machine learning engineers and data scientists. Your primary responsibilities will include: - Designing, developing, and deploying scalable solutions that incorporate GenAI, Traditional ML models, Data science, and ETL pipelines. - Collaborating with cross-functional teams to integrate AI-driven solutions into business operations. - Building and improving automation frameworks, data processing mechanisms, and model deployment procedures. - Leveraging Gen-AI tools and workflows to enhance the efficiency and effectiveness of AI solutions. - Conducting research to stay abreast of the latest developments in generative AI and related technologies. - Delivering essential product features within cloud analytics. Requirements: - B. Tech, M. Tech, or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field. - Proficient programming skills in Python and SQL, with a solid foundation in computer science principles, algorithms, data structures, and object-oriented programming. - Experience in developing end-to-end solutions on AWS cloud infrastructure. - Sound understanding of internal workings and schema design for various data storage systems (RDBMS, Vector databases, and NoSQL). - Familiarity with Gen-AI tools, workflows, and large language models (LLMs). - Experience with cloud platforms and deploying models at scale. - Strong analytical and problem-solving abilities with acute attention to detail. - Thorough knowledge of statistics, probability, and estimation theory. Desired Skills: - Familiarity with frameworks such as PyTorch, TensorFlow, and Hugging Face. - Experience with data visualization tools like Tableau, Graphana, and Plotly-Dash. - Exposure to AWS services such as Kinesis, SQS, EKS, ASG, Lambda, etc. - Expertise in at least one popular Python web-framework (e.g., FastAPI, Django, or Flask). - Experience in rapid prototyping using Streamlit, Gradio, Dash, etc. - Exposure to Big Data processing technologies (e.g., Snowflake, Redshift, HDFS, EMR).,

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. - Strong analytical and problem-solving skills with attention to detail. - 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.,