Top 10 Deep Learning Jobs to Apply in April 2022

 

Deep Learning Jobs April 2022
If you are a deep learning expert, these top 10 deep learning jobs are for you to apply in April

In this technology-driven era, artificial intelligence dominates the world. Its branch-like machine learning and deep learning is a field of study that allows computers to learn without being explicitly programmed. 

As the name implies, it gives it a computer that makes it more like a human being: the ability to learn. 

Machine learning deep learning is being actively used today, perhaps in more places than expected. 

The demand for deep learning professionals is constantly increasing and companies are looking for talented candidates for deep learning jobs . 

Due to the high demand and the small number of deep learning professionals, organizations have no choice but to offer them a favorable package. 

This article features the Top 10 Best Deep Learning Jobs Apply in April 2022.

Deep Learning jobs:Developer – Techgig
 Location: Noida, Uttar Pradesh

responsibility:

Senior deep learning developers or deep learning developers can take advantage of the latest tools in computer vision, deep learning and speech recognition to excel in this emerging industry.

You can train machine learning and deep learning models in your computing cluster to perform visual recognition tasks such as segmentation, detection, self-monitoring depth estimation, and end-to-end control.

Improve neural network performance with multi-task learning, large-scale distributed training, Bayesian deep learning, uncertainty estimation, multi-sensor fusion, and architectural search.

It is very interesting deep learning jobs opportunity.

Deep Learning jobs: Performance Architect – NVIDIA

Location: New Delhi, Delhi

responsibility:

Analyze the performance of critical workloads, tune current software, and suggest future software improvements

Work with a collaborative team of deep learning software engineers and GPU architects to innovate overall applications such as autonomous driving, NLP, computer vision, recommender systems and more.

Adapt to the ever-evolving AI industry by being agile and excited to contribute to the entire code base, including API design, software architecture, testing, and GPU kernel development.

It is very interesting deep learning jobs opportunity.

Deep learning jobs System Software Engineer NVIDIA

Location: Pune, Maharashtra

responsibility:

Develop deep learning neural network models for automatic speech recognition, natural language processing, and text-to-speech conversion.

Develop and test conversational AI models using TensorFlow, PyTorch, and other deep learning frameworks.

Implements a complete conversational AI processing pipeline for real-time and embedded systems on NVIDIA GPUs

Model performance evaluation and optimization.

It is very interesting deep learning jobs opportunity.

 

Deep Learning jobs: Engineer – Mee 2 Bee Smart Services Pvt. Ltd.

Location: Gurgaon, Haryana

responsibility:

International Conference Papers / Patents, Algorithm Design, Deep Learning Development, Programming (Python, C / C ++)

Engineers are responsible for leading the design, development and software implementation of prototypes of new concepts in the areas of computer vision and deep learning.

Based on the requirements set by the team, engineers will assist in the development of new rapid prototypes for problems related to post-harvest quality assessment in agricultural technology.

It is very interesting deep learning jobs opportunity.

Deep Learning jobs Engineer – Gan Studio

Location: Delhi

responsibility:

 Own and solve end-to-end research problems.

Being able to reimplement the algorithm and collate the results of research papers.

PyTorch experience.

It is very interesting deep learning jobs opportunity.

Deep Learning jobs:Senior R & D Engineer (Compiler) – Intel

Location: Bangalore, Karnataka

responsibility:

Address cutting-edge issues with deep learning of the internal AI accelerator SW stack

Participate in all phases of the software development process (design, development, debugging, validation, deployment).

In this profession, you have the opportunity to develop software for innovative Intel deep learning accelerators.

It is very interesting deep learning jobs opportunity.

Deep Learning jobs: Compiler – Architecture, Design, Development, and Delivery.

Graph compiler optimization and kernel compiler.

Senior Deep Learning Engineer – SiteRecon

Location: Noida, Uttar Pradesh

responsibility:

SiteRecon has a mission to become an AI-first company. Your responsibility is to automate the features we create on the platform. This includes collecting images from multiple sources, monitoring the data creation process, training, and deploying models.

It is very interesting deep learning jobs opportunity.

Deep learning jobs:AI / ML Engineer – CoreStack

Location: Chennai, Tamil Nadu

responsibility:

Understand business goals and formulate problems as machine learning problems

Expert level proficiency in multivariate time series prediction or causal prediction

Develop and maintain robust data processing pipelines and reproducible modeling pipelines

Examine data and provide clear insights to technical as well as non-technical audiences

Analyze experimental results, iterate and refine models to make a big impact on your business

A deep understanding of classic statistical prediction algorithms such as ARIMA and ETS and new age algorithms such as Prophet.

Proven experience uses standard regression algorithms such as linear regression, gradient boosting decision trees, and random forests to process time series predictions.

Good practical knowledge of deep learning sequence models such as LSTMs, transformers, etc., especially in the context of time series forecasting.

Familiarity with at least one deep learning framework such as PyTorch, Tensor Flow, etc.

It is very interesting deep learning jobs opportunity.

Deep Learning jobs:Artificial Intelligence Architect Consultant – Personal

Location: Bangalore, Karnataka

responsibility:

Analyze the performance of various machine learning / DL algorithms on existing / new architectures

We identify bottlenecks and propose creative solutions to improve them.

Explore what deep neural networks and visual computing have in common

Add new features to your data science architecture

Leads the design of components for SaaS products.

Work with other architects to define the overall user experience for users of the platform.

Defines industry standards for creating large-scale machine learning applications.

It is very interesting deep learning jobs opportunity.

Deep Learning jobs: Engineer-Nanonet

Location: Bangalore, Karnataka

responsibility:

Candidates are responsible for building deep learning models to solve specific problems. The workflow looks like this:

Problem statement definition (input-> output)

Data preprocessing

Build a DL model

Test on different datasets using transfer learning

Parameter tuning

Deployment to production environment

It is very interesting deep learning jobs opportunity.