Develop Machine Learning (ML) models using various neural network architectures and implement the model using Python.
Understand the problem by interacting with domain experts and design/implement various training algorithms and feature detectors.
Train models using various datasets and optimize the inference architecture for performance.
Build dockerized micorservices based architecture to ensure scalability.
Continuously work to improve the Recall accuracy and precision (mAP) metrics for ML models.
Design and implement event driven pipelines using Kafka, Python, Keras, Pytorch and Tensorflow.
Perform data clean-up and guide the labelling team to create labelled datasets.
Experience developing and consuming REST APIs.
Debug, build, test and release complete software products under SaaS model.
Work with data scientists to implement inference graphs, infographics and automated report/alert generation.
Qualifications:
Experience - 1 to 3 years
Proven experience as a software developer with knowledge about software development lifecycle (SDLC), from design to implementation.
Experience with deep learning frameworks (e.g., Tensorflow, etc) and software stack (e.g., TensorRT, TVM, etc)
Experience with ML accelerators and hardware architecture, e.g., GPUs, TPUs, NNAs, MLAs Experience with modern parallel programming: GPU programming (CUDA, OpenCL), SIMD (avx, neon/SVE), multi-process and multi-threaded designs.
Familiarity with HW vendors' deep learning stacks (e.g., cuDNN, cuBLAS, AMD MIOpen, TensorRT, OpenVino, ARM Compute Library, etc)
Experience with model optimization techniques like pruning, quantization, NAS, etc.
Experience with real-time scheduling frameworks
Experience with open-source deep learning stacks (TVM, XLA, etc)
Knowledge of back-end scripting languages (e.g. Python, PHP, Node.js) and Java.
Familiarity with databases (e.g. MySQL, MongoDB, Cassandra), web servers (e.g. Apache, NGINX), UI/UX design.
Experience with version control systems such as GitHub, BitBucket and build tools such as Jira/Jenkins.
Exposure to developing video streaming and file formats is a plus.
Exposure to networking stacks is a a plus.
Exposure to mobile app development including Android/iOS
Recruiting For : Bipolar Factory
Contact Person : Bipolar Factory
Contact Email : hello@bipolarfactory.com
Please do not pay any money to anyone who promises to offer you a guaranteed job.This could be in the form of a registration fee or document processing fee or any other pretext.
The money could be asked upfront or it could be asked after trust has been built or after some correspondence has been exchanged.
If you get a job offer or a letter of intent without having been through an interview process it is probably a scam and you should contact @ support@beatsjobs.com.
Beats Jobs does not promise a job or an interview in exchange for money. We value your trust and are committed to making your job search a safe and fraud free experience on beatsjobs.com