Vinod Vasava

Introduction

Organizations' enthusiasm toward hiring data scientists is increasing day by day, and the trend may continue in the near future. With the requirement in the industry, the online platforms have also evolved, and now there are plenty of ways to hire data science developers, such as 

• Recruitment Agencies 
• Freelancing platforms and 
• Outsourcing companies

I am going to explain here each of the platforms mentioned above in detail and my favorite way of hiring. These ways can be applicable for hiring any technology developer and are not limited to data scientists only.

A possible way to find Data Science Developer

Recruitment Agencies: Getting the right candidate is a difficult task, especially in today's competitive market, but recruitment agencies are the external source that helps to find a vacant position with the right candidate for your organization. Most organizations go to recruitment agencies to fill vacant positions just because they do not have enough time to look into all the applicants that are sent, so here the role of recruitment agencies is how they can help you in finding the best candidates per your requirement for the organization.

Benefits

Save time 

Before they meet you for a final interview, the proper recruitment agency can efficiently source, phone screen, and prepare applicants. Your hiring process will become much more streamlined since you will only be focusing your efforts on reviewing a few individuals. 

Industry expertise

Specialist recruiters for specific industries are available from a decent recruitment agency. Partner with a recruitment firm that knows your business and can provide you with industry-specific knowledge of market trends, salary levels, and the skills you'll need to succeed. Industry-specific recruiters have access to applicants with certain skills.

save money

Because recruitment companies are experienced at spotting high talent, the chances of making a disastrous hire are slim. Remember that recruiting firms interact with a wide range of individuals every day and can predict who will be financially beneficial to your company. Because training and onboarding a new employee is expensive, it's worth seeking professional assistance when necessary.

Freelancing platforms: For someone who is hired by a business company or corporation to find the best employees for the organization, the main role is to match the candidate with open positions in small businesses and corporations. Freelance recruiters are usually paid the candidate's annual compensation as fees by the clients.

Benefits

Cost-effectiveness

Companies recruit freelancers for a variety of reasons, one of which is that they are less expensive than full-time staff. Work that needs to be filled isn't always routine, and it may be a one-time effort. As a result, freelancers can do the project and be paid just when you require them. You won't have to worry about the extra costs associated with normal employees, such as medical benefits and insurance or wasted downtime.

High-quality work

Due to their extensive experience, they produce high-quality work. Before hiring a freelancer, you'll have to look into exploring their previous work done by the developer for the particular organization, read client reviews, and interview them to ensure they're a good fit to hire for your company. Because freelancers compete for assignments all the time, you can find people who will give your project the time and attention it deserves.

Diversity

Freelancers are a broad group of employees with a range of educational backgrounds, working methods, ethnicities, and other characteristics. As a result, freelancers might provide your job with a fresh viewpoint. Furthermore, their skill sets are equally varied. Even for the most obscure technology or niches, there's likely a freelancer with a specific skill set that's perfect for the job.

Outsourcing companies: When a company requires any employees for business practice, they hire a third party from outside an organization to perform tasks, provide services, and handle operations that are allotted to them for the company. These practices are mostly undertaken by companies as a cost-cutting measure.

Benefits

Save money.

External recruiters will only assist you when a need arises. This can save you a lot of money as compared to hiring a full-time employee. Advertising, online job boards, tools, and software are all examples of recruitment expenditures. The expenses can pile up quickly. You simply have to worry about one cost when you outsource: paying the external partner.

The right person for a specialized role.

It can be difficult to fill a highly skilled position like tech. Finding the perfect person for these positions necessitates the assistance of a third-party expert. Someone with extensive knowledge of the types of candidates who will flourish in the role and experience recruiting for similar positions.

Save time.

Hiring can consume a significant amount of your time. Writing the job description, promoting it, sourcing candidates, reviewing them, and interviewing them are all time-consuming activities. You save time by delegating this time-consuming procedure, or parts of it, to an expert individual or agency.

Personal Experience

From my personal experience, I suggest choosing an outsourcing company will be the best option for your idea/project. A few months ago, I was in need of a data scientist. I came across one of my old friends who is working in a very well-known organization. He suggested that I should go for outsourcing. The reason he told me was, that you'll get the best developers from the best organization with a good skill set and experience. He also suggested to me some of the names of the companies. One of them was Bacancy Technology. After taking service from the suggested company, it was overall a good experience. 

In short, I can suggest you if you are looking to hire a Data Science Developer, Ai developer, Ml Developer, or any other developer for your organization, you can choose the Bacancy technologies. The reason is that they provide cost-effective services, certified developers, proven development records, and innovative models. 

Introduction

Are you looking to speed up the performance of your application? let me help you, We often get frustrated when things don't work according to our plans, the very same way the users get frustrated when there is slow performance in their applications and that lands to uninstallation.

To improvise the speed of your Golang application, using built-in or third-party packages and methods should be carefully considered. The situations in which a compiler can automatically optimize code are limited. You can choose from these Golang performance patterns depending on your app logic and load. implementation strategy based on benchmarks and best practices.

Limit the usage of Goroutines

The use of Goroutines is a feature that distinguishes Golang as a beneficial programming language, as well as a cost-effective one.

However, goroutines have a large memory footprint, which has an impact on the performance of your project. Go programmers, in general, create infinite goroutines without calculating or knowing when they will exit. As a result, we recommend that you only start a goroutine if you are aware that one exists

Parallelize CPU work

Synchronization takes a long time, so if you can parallelize your work by utilising available cores, your Go application's speed will undoubtedly improve. This step will linearly speed up the execution of your program

Make I/O operations asynchronous.

Network transactions and file input/output executions are the most prevalent bottlenecks. As a result, you can make independent I/O operations asynchronous to improve the speed of your Golang application. As a result, similar activities can execute in parallel, reducing downstream latency. To synchronise several I/O operations, use sync.WaitGroup.

Keep a watch on your timeouts

I/O operations typically take a long time, resulting in latency. To avoid this, avoid initiating any I/O task without knowing how much time it will take. Before putting a timeout on each network request, you should start utilising SetDeadline, SetReadDeadline, and SetWriteDeadline.

Do not allocate memory in hot spots

The system uses memory and CPU cycles whenever you create new items, increasing delay. It keeps the garbage collector busy, which isn't always a good thing, especially in high-traffic areas. As a result, you should reuse objects and use sync wherever possible.

Use lock-free algorithms

Synchronization should be avoided at all costs because it leads to racing situations and disputes. You should avoid mutex to increase efficiency and latency. For several popular data structures, there are numerous lock-free methods.

Conclusion:

I hope this article was productive, this will help you to learn more about how to improve the performance of your app and broaden your understanding of the platform. with the use of Go performance pattern, the speed of the application will improve and work smoothly.