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Amazon Rekognition developer in India (UTC+6)
I am a Lead Mobile Developer with a Master's in Software Systems and 5 years of experience in Flutter app development. Skilled in Dart, Java, Rest API, and team management.
Vetted Amazon Rekognition developer in India (UTC+6)
Dedicated and results-driven Software Engineer with a proven track record (~7 years) of leveraging advanced analytics and cutting-edge technologies to drive business success. Possessing a strong background in translating complex concepts into practical solutions. My expertise ranges from managing Java-based enterprise backend systems to Python-based services involving natural language processing, computer vision, and deep learning, with hands-on experience in designing, deploying and maintaining scalable machine learning systems. I have been developing LLM-based applications to transform business requirements into successful outcomes.
Vetted Amazon Rekognition developer in India (UTC+6)
Currently working as a Data Engineer, 5.4 years of experience in specializing Data Analysis and Machine Learning. Experienced with all stages of Data Cleaning, preparation along with data visualization. Experienced in Apache Airflow with writing processes in python for data orchestration. Strong background in Python, Regular Expression, Web-scraping, Numpy, Pandas, Matplotlib, T-SQL and PySpark. I have also certified in Aws machine learning and GCP professional data engineer.
Vetted Amazon Rekognition developer in India (UTC+6)
I have been working as a developer for ~10 years in big companies like Amazon, PayPal and Snapdeal. Having worked on Highly Scaleable and reliable systems, I have good amount of experience in this field. I am a very active and well rated System Design Coach at Top training companies(pesto.tech, Crio.do) in India who help people up-skill to FAANG level jobs. I have also given many tech company interviews and interviewed many candidates. Having received immense help from others in my career ,I really like to help people grow & love mentoring other engineers.
Vetted Amazon Rekognition developer in India (UTC+6)
I'm a dedicated full-time mentor, consultant and Lead software developer with a track record of over 1000+ sessions since 2016. Having 9 years of programming experience in Python, java, GoLang, AWS, MongoDb, ElasticSearch, telethon and many more technologies. I'm passionate about problem-solving and navigating intricate code bases. I love working with: ⭐ Python ⭐ Java ⭐ Spring ⭐ NodeJS ⭐ AWS ⭐ SQL ⭐ MongoDB ⭐ ElasticSearch ⭐ React ⭐ GoLang WHAT SEPARATES ME FROM OTHERS? * Strong and clear communication * Availability at all times * 100% refund incase of non satisfactory session Achievements: * 1000+ Sessions * All 5 star rating
Vetted Amazon Rekognition developer in India (UTC+6)
11+ years of experience in automation testing of web applications, native and hybrid mobile apps, and backend services. An effective communicator with strong analytical, people management, detail orientation & interpersonal skills.
Vetted Amazon Rekognition developer in India (UTC+6)
Aakash is a seasoned software engineer currently specializing in full-stack development with Python/Django and ReactJs. He has eight years of experience architecting and developing products for startups and established companies across the globe. These include eCommerce, real estate, food-tech, energy efficiency, CRMs and healthcare solutions. Aakash has a deep passion and enthusiasm for software development and enabling businesses to succeed and grow through technology.
Vetted Amazon Rekognition developer in India (UTC+6)
Krishna is a machine learning engineer who is curious and passionate about applied deep learning in computer vision, NLP, and reinforcement learning. He has four years of experience with machine learning, including having been a part of the analytics division of JP Morgan Chase & Co. He is a great communicator and enthusiastic developer.
Vetted Amazon Rekognition developer in India (UTC+6)
I'm a full-stack Software Engineer, specialising in Backend and Architecture. Currently I'm a Software Engineer 2 at PayPal, with previous experience in Fintech startups, working with Banks and Credit Score companies for web, application and mobile development. I'm also and AWS Certified Solutions Architect.
Vetted Amazon Rekognition developer in India (UTC+6)
* Experienced in leveraging AWS technologies (Lambda, EC2, Beanstalk, DynamoDB, RDS, EMR, S3, SQS, etc) and opensource technologies like Cassandra, RabbitMQ, etc to solve problems and develop solutions. * I also have experience with various data science and quant libraries like numpy, pandas, scipy, quantlib, pinescript, etc. * I am someone who is empathetic, patient but a go-getter who likes to learn by doing and hacking. * I hold myself to high standards of a software professional. This means that I am committed to: write the best code I can produce in the scope of the project, accountability, responsiveness, and setting clear expectations.
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Ready to hire your ideal Amazon Rekognition developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Amazon Rekognition developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire an Amazon Rekognition developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Amazon Rekognition developers can help keep your website up-to-date.
To hire an Amazon Rekognition developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Amazon Rekognition developers effectively and efficiently. Hire full-time Amazon Rekognition developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Amazon Rekognition developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Amazon Rekognition developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Amazon Rekognition developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Amazon Rekognition developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Amazon Rekognition developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Amazon Rekognition developers, consider niche platforms like Arc that naturally attract and carefully vet their Amazon Rekognition developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Amazon Rekognition developers.
Some factors to consider when you hire Amazon Rekognition developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Amazon Rekognition developers for hire.
Writing a good Amazon Rekognition developer job description is crucial in helping you hire Amazon Rekognition developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Amazon Rekognition developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Amazon Rekognition developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Amazon Rekognition developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Amazon Rekognition developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Amazon Rekognition developers to keep up with evolving technology and requirements.
You can find a variety of Amazon Rekognition developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Amazon Rekognition developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Amazon Rekognition developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Amazon Rekognition developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Amazon Rekognition developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Amazon Rekognition developers.
Every Amazon Rekognition developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Amazon Rekognition developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Amazon Rekognition developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Amazon Rekognition developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Amazon Rekognition developers, you can rest assured that all remote Amazon Rekognition developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Amazon Rekognition developers before we present them to you. As such, all the remote Amazon Rekognition developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Amazon Rekognition developer in 72 hours, or find a full-time Amazon Rekognition developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Amazon Rekognition developers.
Depending on the freelance developer job board you use, freelance remote Amazon Rekognition developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Amazon Rekognition developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Amazon Rekognition developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Amazon Rekognition developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Amazon Rekognition developers, check out our FAQs page.