Staff Data Scientist
- Netradyne
- 5 - 8 years
- Bengaluru
- 2 months ago
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Job Description
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:
- Experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX.
- Experience in embedded platforms, make files, build systems, and familiarity with Jenkins.
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: NetradyneLocation(s): Bengaluru+ View Contact
Keyskills: Computer science Computer vision SAN C++ Machine learning Signal processing Data structures Data mining Monitoring Python
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