Trending March 2024 # How Ethics Apply In Online Reputation Management # Suggested April 2024 # Top 8 Popular

You are reading the article How Ethics Apply In Online Reputation Management updated in March 2024 on the website Hatcungthantuong.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested April 2024 How Ethics Apply In Online Reputation Management

Content – More Than SEO

We’ve known for a long time that our websites need to have content written for readers first and search engines second. But, since ORM is designed to generate positive results in the top of the search engines to push the negative ones down so they’re less likely to be seen – there’s a point where you have to decide if the money for the writing or SEO gig is worth helping a person or business attempt to undo some damage.

A while back, I received an order from a client I’d been working with for years. In my eight years of working as a freelance writer, I’d never turned down a job for ethical reasons—until then. I was asked to write an article about a man, showcasing his talents and accomplishments. The first thing I did was search for the man, because I needed to know more about said talents and accomplishments.

Once I discovered he had charges pending related to indecent acts with minors, I knew I wasn’t the right person for the job. At the risk of losing a client who’d provided enough work to pay all of my bills, I declined the assignment and told him why. I held my breath for a few minutes while awaiting his reply, and started looking for more clients. Thankfully, he supported me. He went back to his client and declined the order.

Every job a business takes could be tied to ethics, and some are easier to accept or decline than others. Here’s what I do.

Evaluate on a Case-by-Case Basis

Who is the company and what is the purpose of the job?

Would my completion of this job help the company succeed in a manner that harms others?

Do they want content to suppress negative search results? Do they want them removed? Do they want to defend the search results? Or, do they simply want review management to improve their profiles?

It’s important to recognize that businesses and people do make mistakes. Sometimes these mistakes are amplified, and do way more damage than they should. That’s where ORM is helpful.

But, some businesses simply succeed through hurting their employees or customers. When it comes out into the open, as it did with Amy’s Baking Company on Kitchen Nightmares, some damage control can be done, but not always enough to keep the company afloat.

The business was able to recover slightly after their TV episode aired and they engaged in massive social media warfare, then claimed accounts were hacked. But, eventually, they closed their restaurant and now operate a wholesale baking business with the same name.

Does Personal Bias Get in the Way?

For me, in the case of the job I declined, yes. But, when you consider I’ve also been pitched to build foot fetish websites (not something I’m into, but I won’t judge) and didn’t decline for moral reasons, I don’t always allow how I feel about a particular topic to dictate the jobs I take.

So is ORM ethical? When done correctly, yes it is. What is the difference between normal optimization techniques and search suppression techniques? Not much. Building links to positive and neutral content, as well as responding to user reviews and high authority content are still part of the suppression mix; just as they are with SEO itself. The techniques do not change, the client does.

And so ethics in ORM should take on a different perspective. Questions about the client, and its operation, should take center stage—not the process of ORM itself. How do you determine that? I found this great post from chúng tôi discussing their internal processes for determining ethics in reputation management.

I like their take on it and, even better, that they have published this internal process for all their potential clients to see. This is something that many ORM clients themselves need to adopt, as you’ll see in the case below.

It’s Not What – It’s How

Take a look at how Brambleberry, a soap-making supply company, does it:

On the other hand, if you’re crafting positive content with a partial basis in truth in an attempt to hide serious wrongdoing from the first page of search results, you’re behaving unethically. That’s exactly what my client was asking me to do, because it was what his client was asking him to do. And that’s why I didn’t do it.

What about you? How do you feel about ethics in ORM? Have you ever declined an SEO job or writing gig for ethical reasons because you knew it factored into a reputation issue?

Image Credits

Screenshot by Lucinda Watrous. Taken April 2024.

You're reading How Ethics Apply In Online Reputation Management

How To Apply A 2D Average Pooling In Pytorch?

We can apply a 2D Average Pooling over an input image composed of several input planes using the torch.nn.AvgPool2d() module. The input to a 2D Average Pooling layer must be of size [N,C,H,W] where N is the batch size, C is the number of channels, H and W are the height and width of the input image.

The main feature of an Average Pooling operation is the filter or kernel size and stride. This module supports TensorFloat32.

Syntax torch.nn.AvgPool2d(kernel_size) Parameters

kernel_size – The size of the window to take an average over.

Along with this parameter, there are some optional parameters also such as stride, padding, dilation, etc. We will take examples of these parameters in detail in the following Python examples.

Steps

You could use the following steps to apply a 2D Average Pooling −

Import the required library. In all the following examples, the required Python library is torch. Make sure you have already installed it. To apply 2D Average Pooling on images we need torchvision and Pillow as well.

import torch import torchvision from PIL import Image

Define input tensor or read the input image. If an input is an image, then we first convert it into a torch tensor.

Define kernel_size, stride and other parameters.

Next define an Average Pooling pooling by passing the above defined parameters to torch.nn.AvgPool2d().

pooling = nn.AvgPool2d(kernel_size)

Apply the Average Pooling pooling on the input tensor or image tensor.

output = pooling(input)

Next print the tensor after Average Pooling. If the input was an image tensor, then to visualize the image, we first convert the tensor obtained # Import the required libraries import torch import chúng tôi as nn

”’input of size = [N,C,H, W] or [C,H, W] ”’ input = torch.empty(3, 4, 4).random_(256) print(“Input Size:”,input.size())

# pool of square window of size=3, stride=1 pooling1 = nn.AvgPool2d(3, stride=1)

# Perform Average Pooling output = pooling1(input) print(“Output Size:”,output.size())

# pool of non-square window pooling2 = nn.AvgPool2d((2, 1), stride=(1, 2))

# Perform average Pool output = pooling2(input) print(“Output Size:”,output.size())

Output Input Tensor:    tensor([[[194., 159., 7., 90.],       [128., 173., 28., 211.],       [252., 123., 248., 147.],       [144., 107., 28., 17.]],       [[122., 140., 117., 52.],       [252., 118., 216., 101.],       [ 88., 121., 25., 210.],       [223., 162., 39., 125.]],       [[168., 113., 53., 246.],       [199., 23., 54., 74.],       [ 95., 246., 245., 48.],       [222., 175., 144., 127.]]]) Input Size: torch.Size([3, 4, 4]) Output Tensor:    tensor([[[145.7778, 131.7778],       [136.7778, 120.2222]],       [[133.2222, 122.2222],       [138.2222, 124.1111]],       [[132.8889, 122.4444],       [155.8889, 126.2222]]]) Output Size: torch.Size([3, 2, 2]) Output Tensor:    tensor([[[161.0000, 17.5000],       [190.0000, 138.0000],       [198.0000, 138.0000]],       [[187.0000, 166.5000],       [170.0000, 120.5000],       [155.5000, 32.0000]],       [[183.5000, 53.5000],       [147.0000, 149.5000],       [158.5000, 194.5000]]]) Output Size: torch.Size([3, 3, 2]) Example 2

In the following Python example, we perform 2D Avg Pooling on an input image. To apply 2D Avg Pooling, we first convert the image to a torch tensor and after Avg Pooling again convert it to a PIL image for visualization

# Python 3 program to perform 2D Average Pooling on image # Import the required libraries import torch import torchvision from PIL import Image import torchvision.transforms as T import torch.nn.functional as F # read the input image img = Image.open('panda.jpg') # convert the image to torch tensor img = T.ToTensor()(img) print("Original size of Image:", img.size()) #Size([3, 466, 700]) # unsqueeze to make 4D img = img.unsqueeze(0) # define avg pool with square window of size=4, stride=1 pool = torch.nn.AvgPool2d(4, 1) img = pool(img) img = img.squeeze(0) print("Size after AvgPool:",img.size()) img = T.ToPILImage()(img) img.show() Output Original size of Image: torch.Size([3, 466, 700]) initialization of the weights and biases.

Gantt Chart In Project Management

Introduction to Gantt Chart in Project Management

Gantt chart in Project Management is basically a visual view of the tasks that are scheduled over time. They are needed for the planning of all projects of all sizes, and they are quite a useful way of displaying which work is scheduled to be executed on a specific day. In addition, Gantt charts help you in viewing the start and end dates of the project in a single simple view.

Understanding

Project scheduling and management, project management software & others

On a Gantt Chart, you can see various things like the start date of the project, the finish date of the project, what are the project tasks, who is working on each task, how long would each task be, when the tasks start and finish and how tasks are grouping together, overlapping and linking with each other.

Earlier, project managers traditionally used local desktop applications such as Microsoft Project and even today, many still do. However, nowadays, Gantt Chart software has moved online, thus enabling almost anyone to create collaborative and shareable Gantt Charts as well as projects plans.

Role of Gantt Chart in Project Management

Gantt Charts are quite useful in planning and scheduling of projects. They also help you assess how long a project should be taking and determine the resources needed, and plan the order in which you should be completing tasks. They are also quite helpful in the management of the dependencies between tasks.

How to Use Gantt Chart for Project Management?

It is easy to manage the Gantt Chart.

You can follow these steps to set up a Gantt chart of your project:

Step 1: Identification of Essential Tasks

Gantt Charts do not provide useful information until they include all the activities required to complete a project or project phase.

Example:

Imagine that your organization has got a tender wherein they have to create a software of a Service product, and you are the in charge of the project, and you thought to use a Gantt chart in order to organize all the work along with calculating the overall timescale for this delivery.

You’ll have to start by listing all activities, and then you need to estimate how long would each task be taking to complete.

The list should be looking like this:

Work Duration

Analysis of high level 1 week

Server hosting selection 1 day

Server configuration 2 weeks

Core modules detailed analysis 2 weeks

Supporting modules detailed analysis 2 weeks

Step 2: Task Relationships Identification Step 3: Activities to be Inputted into Software Step 4: Chart Progress

As and when your project will move along, it will, of course, evolve. For example, let’s imagine a scenario you may have to delay the training and stop the development of a management information system until and unless the issue is resolved. You should update your chart so as to reflect changes as and when they occur. This would help you in keeping your plans, your team, and also your sponsors up to date.

Benefits of Gantt Chart in Project Management

The benefits of the Gantt Chart are many.

Planning & Scheduling of Projects

The Planning & Scheduling of tasks

Planning & Scheduling of tasks across multiple projects

Viewing tasks Over Time

Planning in Sprints

Team Collaboration

Scheduling Team’s work

Determining Planned Timelines Vs Actual Timelines on Project

Conclusion

After all this discussion, we can conclude that the Gantt Chart concept can be thought of as well-known as well as the successful approach of project management practices. It can be accepted as an effective and also useful way for scheduling, following, and controlling projects wherein different tasks are aimed to be completed in a restricted time durations.

Recommended Articles

This has been a guide to Gantt Chart in Project Management. Here we discussed the basic concept, how to use it, role, and benefits, respectively. You can also go through our other suggested articles to learn more –

Best Cable Management Accessories In 2023

Are you working from home? There’s a good chance that your desk is brimming with cables and, well, more cables! Although we need them, they can be annoying and unsightly. To help you declutter and better organize your space, I have scoured the internet to prepare this ultimate list of the best cable management accessories. They are efficient, cost-effective, and can enhance your productivity by leaps and bounds! Let’s look at each.

1. Amazon’s cable management sleeve – Best in durability

You can call this sleeve a synonym for simplicity at its best. The white-colored sleeve measures 60 inches in length and 1.2-inch in diameter. The full-length Velcro strip can be of great help in giving a secure closure with ease of access. It can serve impeccably for home theaters, TV entertainment systems, and computer stations all at once and prevent the wires from fraying.

The best thing? Since it an Amazon product, you get a 1-year warranty with this cable management sleeve.

Check out on Amazon

2. OHill’s cable clips – Convenient cable management solution

In the package, you receive 16 different-sized black cable clip holders that can be used individually at different places or together based on your need. The compact cable holders offer grip for single-wire, two wires, and three wires. It also includes two clips that can hold up to five cables at once.

You don’t have to make an additional hole in your wall to install them; peel the back sticker and let the adhesive pad do the rest for you. Just ensure there isn’t any dust particle on the surface and is free from water while sticking them. If you fail to check that, you might face trouble with the longevity of its hold.

Check out on Amazon

3. Syncwire’s self-adhesive USB cable clips – High-quality, non-toxic built

Also, these are made using high-quality silicone that’s non-toxic and odorless. However, these aren’t the only features you get. Besides holding your cables, they can also hold your pen, toothbrush, and flossers.

In the packet, you receive self-adhesive clips of five different sizes with varying capacities to hold cables.

Check out on Amazon

4. Topbooc’s cord organizer kit – Convenient cable management solution

This one is a mega cord management bundle housed with 124 pcs to manage cords and cables with the utmost ease. The list includes 4 cable sleeves with zipper, 10 self-adhesive cable clip holders, 10pcs and 2 roll self-adhesive ties, and 100 fastening cable ties. Each of them is made using premium quality material that’s highly durable and resistant to electric hazards.

All in all, it has every component that can be of immense use to manage cords and cables in your office and home.

Check out on Amazon

5. Hmrope’s cable zip ties – Comes with a lifetime warranty

The 200mm long and 3.5mm wide zip wire tie is a perfect example of simplicity at its best. It can hold a weight of up to 50 pounds and is made using high tensile fire-resistant nylon. It can withstand 40°F to more than 185°F temperature and serve as an impeccable resource to meet your outdoor needs.

The self-locking fastener is bestowed with a robust locking system and prevents snagging in tight. As a part of the package, you get 100 durable cable ties.

Check out on Amazon

6. TEYGA Bamboo Cable Management Box

Here’s a cable management box that’s the perfect home for up to 2 unsightly power strips and all of the cords that go with it. It serves as an ideal charging station on my desk for a clutter-free space. Although the most expensive on the list, it looks like an elegant piece of home decor and blends into almost any decor scheme. 

The bamboo looks good while being eco-friendly and durable. Moreover, it’s been crafted with precision and has smooth, rounded edges that are child-friendly.

It’s perfect for staying organized at both the home and office. It also comes backed by a 1-year warranty, so you know you’re investing in the best quality!

Check out on Amazon

7. SOULWIT’s self-adhesive cable organizer clips – Best in eco-friendly material

These are made using premium PA66 eco-friendly material, which provides good insulation and makes these clips resistant to corrosion and high-temperature.

These clips can house maximum width of 8mm and hold them firmly. As part of the package, you receive 50 pieces of cable management clips that make a perfect companion for network cables, video cables, power cords, audio cables, and cables in data centers, offices, or homes.

The clips come with a self-adhesive pad at the rear that can be glued on any clean, water-free, dust-free, and oil-free surface.

Check out on Amazon

8. Hydream’s  silicone wire holders – Highly flexible and long-lasting grip

I’ll call this one compact and resourceful considering that it features 7 cable slots in the space of 5-slot size. The package includes 3 cable organizers that can serve individually to declutter 21 cables effortlessly. It is made using 100% non-toxic silicone and is non-magnetic and highly flexible. This allows you to stick it using the adhesive pad wherever you want. Just peel and stick it in a clean and dry place and hold it for 30 seconds to ensure a long-lasting grip.

Its build makes it perfect for charging cords, USB cables, audio cables, wired earphones, and computer cables. Besides, as of writing this article, the seller offered a 1-year warranty on the product.

Check out on Amazon

9. ENONCI’s cable raceway kit – A durable cable organizer

This cable raceway kit by ENONCI is different than the rest on the list as it demands working with the screws but offers broader capabilities. It measures 10mm in diameter and can house AWG 1/0 wire and cable, and can be a perfect choice for thick cables like 3-pin plug cables, Cat-5 or Cat-6 Ethernet cables and camera cables, etc.

As a part of your order, you receive 77-inch cable cover raceways, five cable raceways, two-wire holders, one adhesive tape, 5 velcro cable ties, and 20 expandable screws.

Though this might require additional effort to install, it can serve as a single accessory to meet all your cable management needs, thus, making it a little expensive than most others on the list.

Check out on Amazon

10. PASOW’s reusable fastening wire organizer – Easy-to-use and sturdy

Manage your cables in the simplest form using this affordable set of 50 cable ties by PASOW. The velcro cable ties are available in 8 different colors as a set and make an ideal choice to organize your cables and make the work desk look tidy without compromising the aesthetics.

The multipurpose cable ties can be reused and are made using flexible and durable fabric material. If you don’t want to work around a lot and keep things simple, these reusable fastening wire organizers are a perfect choice.

Check out on Amazon

11. VIVO’s under desk cable organizer tray – Best cable hiding solution

The black tray helps you avoid tangling against wires beneath your work desk and gives a clutter-free setup. It is made using sturdy material and can easily conceal cables weighing up to 11lbs support.

Also, you can install it underneath any wooden or metallic table using the screws that come with the package. It features a partially closed design to ensure that your cables don’t fall apart.

The setup can indeed serve a purpose significantly when accompanied with velcro ties holding the wires from spreading.

Check out on Amazon

12. SimpleCord’s J channel desk cable organizer – Best in desk cable management

The desk cable management channel supports peel-and-stick function and can route and conceal your cables smartly. You can have a set of five organizers and opt from six different color options.

Each channel measures 16-inch in length, which, if used smartly, can impeccably hide your cables all through the socket till your tabletop. Besides color options, you can further ensure that the final output is more appealing.

This desk cable organizer protects your child from touching the wires and can be used not only for your work desk but also in baseboards and the kitchen.

Check out on Amazon

13. Tokye’s cord organizer with cable kit – Best fire-resistant kit

There’s no way you can avoid giving this kit a second look or resist the temptation to have it. However, this one’s different; this isn’t like those we saw in the list.

As a part of the kit, you receive one stylish wire box with 1 sleeve, 4 clips, and 6 ties. You can house a multi-pin socket in the box and further use sleeves, clips, and ties to serve the purpose of routing the cables neatly.

Although the most expensive on the list, it is made using premium materials that offer features like high density and an anti-scratch surface. What I explicitly loved about this kit is its fire-retardant quality. It ensures that you are not only organized but also safe.

Check out on Amazon

14. Viaky’s adjustable cable clips – Best in tabletop cable management

It is made using 100% authentic industrial-grade nylon for added durability and strength. Besides this, they are resistant to high-temperature, corrosion, acid, etc.

As a part of the package, you get 30 pieces of clips. Just make sure while applying them, the surface is dry and dust-free. Also, once placed, leave them for around an hour for the best grip.

Check out on Amazon

15. INCHOR’s cable white cord holder – Best home cable organizer

The package includes three cable clips with 7, 5, and 3 slots. The silicone cable clips are durable and flexible by nature and can house wires with a diameter of up to 6mm. Besides holding your wires, it can also hold your pens, toothbrush, floss holder, etc.

You need to peel the sticker off from the rear and stick the clip on a clean and dry surface. Press and hold it for around 30 seconds for better grip. The adhesive pad is strong enough to hold your phone charging cables, USB cables, network cables, TV power cords, etc.

It is super easy to install. However, the only thing you need to take care of before sticking is to ensure the surface is clean, oil- and dust-free, and water-free.

Check out on Amazon

FAQs

You may only need one of the above accessories to ensure the clutter-free management of your home office. While my favorite from the list is Amazon’s cable management sleeve cover for its 1-year warranty and ease of use, you can see what works best for you.

Meanwhile, you may also enjoy reading:

Author Profile

Mehak

Mehak has a master’s degree in communication and over ten years of writing experience. Her passion for technology and Apple products led her to iGeeksBlog, where she specializes in writing product roundups and app recommendations for fellow Apple users. When not typing away on her MacBook Pro, she loves being lost in a book or out exploring the world.

Top Data Science Jobs In Faang Companies To Apply For In May

FAANG companies pay a fortune for data science jobs like data scientists and analysts

Over the past two decades,

Top Data Science Jobs in FAANG Companies Data Analyst, Product Support Operations at Meta

Location(s): Sunnyvale-CA, Austin-TX, Seattle-WA, Remote Roles and Responsibilities: Meta is seeking an experienced data analyst to join the team, who will focus on leading analytics efforts with cross-functional teams to improve the product experience by providing scalable data solutions, business intelligence, and analytics to PSO. The candidate should develop and manage end-to-end analytics solutions from requirements gathering, establishing key metrics, building a data pipeline, and dashboard, and analyzing data to drive the performance of operations. Qualifications:

The candidate should have 3+ years of experience in quantitative analysis, SQL, data visualization tools, etc.

He/she should experience communicating with a variety of audiences and stakeholders.

Apply

Data Analyst, Global Talent Selection at Meta

Location(s): Austin-TX, Washington-DC, New York, San Francisco-CA, Remote Roles and Responsibilities: The company is looking for data analysts who share their passion for building new functionality and improving existing systems. He/she should build new analytics and reporting capabilities to support program evaluation and operations. They should handle and how reporting analytics requests while addressing stakeholders’ long-term needs and driving insights for human resource partners and executives using existing dashboards. Qualifications:

The candidate should have 4+ years of experience working with SQL or relational databases.

Experience initiating and driving projects to completion with minimal guidance is mandatory.

He/she should have experience having effective conversations with clients about their support needs and requirements, managing the intake process, and asking the right questions to the scope and solve the requests.

Apply

Data Scientist at Apple

Location(s): Hyderabad, Telangana Roles and Responsibili]tes: As a data scientist at Apple, the candidate should design data science solutions to solve business challenges. He/she should be part of a large team, working on research and project delivery. They will apply statistical thinking and machine learning methods. The candidate should communicate complex concepts in intelligible ways. He/she will manage time and priorities in an exciting and changing environment. Qualifications:

The candidate should have 8-years of experience in data science and machine learning.

Hands-on programming language experience and proven competency in Python or R coding are mandatory.

He/she should have a good degree of knowledge about unstructured data analysis methodologies like NLP, NLG, etc.

Apply

Data Scientist- Strategic Data Solutions at Apple

Location(s): Austin, Texas Roles and Responsibilities: As an SDS data scientist, the candidate will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services. Qualifications:

The candidate should have practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection.

He/she should have a working knowledge of relational databases including SQL, and large-scale distributed systems such as Hadoop and Spark.

They should have the ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java.

Apply

Sr. Data Engineer, Data Solutions & Engineering, Security at Amazon

Location(s): London Qualifications:

The candidate should have a Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline.

He/she should have 8+ years of experience in data engineering, BI engineering, or a related field in architecting and developing end-to-end scalable data applications and data pipelines.

They should have 3+ years of coding experience with modern programming or scripting language.

Apply

Data Engineering Manager, Studio & Creative Production DSE at Netflix

Location(s): Los Gatos, California Roles and Responsibilities: As a data engineering manager, the candidate should achieve a consistently enjoyable experience for the company’s members through this process of a tall order. He/she should help visual effects teams deeply leverage data to inform their decision-making as they go about their tasks. They should help teams leverage data-driven methods such as reinforcement learning for artwork and video assets personalization and optimization methods for studio production workflows to drive better outcomes for the business. Qualifications:

The candidate should have been leading data engineering teams for 5+ years.

He/she should have a proven track record leading innovative, influential data engineering work in complex business domains.

They should be deeply invested in creating an inclusive team environment and helping each team members grow.

Apply

Data Scientist, Engineering at Google

Location(s): Mountain View-CA, Sunnyvale-CA, New York Qualifications:

The candidate should own a Master’s degree in a quantitative discipline.

He/she should have 2-years of experience in data analysis or a related field.

Experience with statistical software is mandatory.

New Opportunities: Top Deep Learning Jobs To Apply In Jan 2023

Deep learning jobs are preferred highly in terms of salary, growth, and exploration

After

Top Deep Learning Jobs to Apply For Edge AI Deep Learning Software Engineer at Intel

Locations:

Bengaluru

Roles and Responsibilities:

As an edge AI deep learning software engineer at Intel, the candidate should conduct design and development to build and optimize deep learning software. He/she should implement various distributed algorithms such as model/data-parallel frameworks, parameter asynchronous data communication in deep learning frameworks. They should transform the computational graph representation of neural network model. The candidate should develop deep learning primitives in math libraries. 

Qualifications:

Bachelor’s or Master’s degree in Engineering from a reputed institute is expected.

The candidate should have around 1-5 years of overall industry experience with at least 3-4 years of leading medium-sized teams. 

Apply

Deep Learning Compiler Specialist at Qualcomm Technologies

Locations:

Bengaluru

Roles and Responsibilities:

At Qualcomm Technologies, the deep learning compiler specialist will be working on researching and developing an in-house framework and also open-source compiler frameworks with TVM. He/she is responsible for optimizing the deep learning models from various frameworks like TensorFlow, PyTorch, Onnx, etc to Aderno, GPU. They should do researches to enhance the performance of these compiler frameworks by enhancing them with Qualcomm proprietary extensions. The candidate should be contributing to open-source communities. 

Qualifications:

  

The candidate should possess Bachelor’s degree in engineering, information systems, computer science, or related fields. 

He/she should have overall 3-years of software experience in software engineering, architecture, design, and implementation. 

Experience developing embedded software is mandatory.

Knowledge of neural networks with hands-on experience using ML frameworks such as TensorFlow or PyTorch. 

Apply

Technical Expert: Deep Learning & Collective Intelligence at Siemens Limited

Locations:

Bengaluru

Roles and Responsibilities:

As a technical expert at Siemens Limited, the candidate can move beyond theoretical models and build innovative, practical, and robust real-world solutions for computer vision-based applications in smart mobility, intelligent infrastructure, and autonomous systems. He/she should develop strategic concepts and engage in technical business development to address new markets with the company’s business units using video-analytics-based technologies. They should demonstrate the ability to drive innovation and research in the form of patents and publishing at top-tier conferences/journals. 

Qualifications:

  

PhD/Master’s degree in computer science from a reputed institute is expected. 

The candidate should have at least 8-years of work experience in solving complex problems and driving actionable insights. 

He/she should have minimum of 6-years of experience working on image processing, computer vision, and video analytics problems with a clear understanding and ability to implement algorithms is also a must. 

They should have hands-on experience using OpenCV and OpenGL. 

Apply

Senior Systems Software Engineer- Deep Learning Accelerator at NVIDIA

Locations:

Bengaluru

Qualifications:

  

The candidate should own a BS or equivalent experience in EE/CS or a closely related field with 5+ years of experience. 

He/she should have strong ability in C and C++.

They should be familiar with source control and deep learning.

Apply

Deep Learning Researcher (Lead) at Sony

Locations:

Bengaluru

Roles and Responsibilities:

The deep learning researcher is expected to research and develop DL models from the ground up for new use cases, based on set business objectives. The candidate should identify datasets for the problem, data cleansing, analysis, and visualization. He/she should evaluate different machine learning algorithms to solve a given problem. 

Qualifications:

  

The candidate should have 3-6 years of work experience. 

Hands-on experience in developing deep learning models using CNNs, GANs, etc is expected. 

He/she should have an in-depth understanding of deep learning concepts and working of CNNs including backpropagation. 

Proficiency in Python programming language, machine learning frameworks like TensorFlow and Pytorch are a must. 

After artificial intelligence came into existence, many sub-technologies started emerging. Machine learning and deep learning are two important branches of AI that are invading every industry and serving their purpose to the best. Deep learning is a subset of machine learning that helps in analyzing datasets to improve real-time decision-making. In particular, deep learning works with unstructured data and builds effective AI models. Owing to its increasing usage, deep learning jobs are also put under the spotlight. According to a report, deep learning jobs are preferred highly in terms of salary, growth, and exploration. If you are interested in handling data, have a special talent in automation and machine learning, then deep learning jobs are for you. By gaining deep learning knowledge, aspirants can apply it for a variety of professions like machine learning engineering, data scientists, business intelligence developers, etc. Analytics Insight has listed the top deep learning jobs that interested candidates should apply for in January 2023.Apply here for the role.Apply here for the job.Apply here for the job.Apply here for the job.Apply here for the job.

Update the detailed information about How Ethics Apply In Online Reputation Management on the Hatcungthantuong.com website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!