We are ideally looking for 2-5 years of experience, in as much of the tech stack as possible. If you love startups or have experience working with startups, we would be a match made in tech heaven.
We are constantly looking for amazing folks who can join us and help bring value to the many products we are working with. With this Job post, we want to invite all Automation Test Engineers who have expertise in Automation.
Backend Developer (PostgreSQL, Hasura)
What do we look for in you?
2-3 years of proven and progressive experience in backend Development. Experience in any backend technology like Node, Django, PostgreSQL, Python, Hasura, Graphql, etc. Experience in writing unit test cases and deploying code to servers. Learning aptitude and interest in machine learning.
We are looking for a Rust Developer (with 2-6years of experience) to join our cutting-edge development team as it grows. The candidate must be comfortable working in an agile environment and has the ability to take the lead when necessary.
Senior Backend Engineer
We are ideally looking for 3+ years of experience, in as much of the tech stack as possible. If you love startups or have had experience working in start-ups, we would be a match made in tech heaven.
We are ideally looking for 2+ years of experience, in as much of the tech stack as possible. If you love startups or have experience working with startups, we would be match made in tech heaven.
Media Backoffice Inc
Full Stack Engineer - Backend
It is a web-based service that provides free background removal AI and manual edit service followed by the AI result.
If customers are not satisfied with the result, our human operators in India will tweak/modify the result based on the customers' instruction input. We are looking for a developer to help us improve the web app.
- You are comfortable automating and maintaining cloud infrastructures. You are passionate about learning tools and services, with superb troubleshooting skills, enthusiasm for automating everything, and a sense of ownership.
Senior Fullstack Engineer
AI is now mainstream. Enterprises and organizations have recognized its potential and are willing to invest significantly to adopt it in their business to boost the bottom line. However, they do not have a way to quickly adopt AI to solve different business problems and need to develop individual solutions from scratch which involves development cycle of months and hundreds of thousands of dollars in costs.
They are building a horizontal platform to leverage AI to solve multiple business problems within the industry and cross-industry. They provide a no-code SaaS platform for businesses to adopt pre-built AI solutions within hours or days. Using Loopr's platform, organizations can quickly leverage AI to reduce QA costs by automating defect or corrosion detection in products like aircraft parts, reduce processing time on the factory floor by digitizing documents in real-time, provide a faster and more accurate diagnosis by automating disease detection in medical reports, and much more. We are looking for a Sr. Fullstack Engineer to join their team.
Computer Vision Engineer
- We are looking to hire a new Computer Vision Engineer in our team. You’d help create AI-first products — contributing to the company IP, and technology stack deployed in Nvidia Jetson Ecosystem. You’d work on cutting-edge deep learning and computer vision problems
- Candidates should have Experience (academic or industry) with Computer Vision and Deep Learning in at least two- Neural networks – CNNs, RNNs, auto-encoders, etc., and transfer learning – Object Detection and Tracking and Numerical Optimisation.
The Future of Python Jobs - What You Need to Know Now
New job trends are emerging every day, and artificial intelligence is transforming almost every sector of the economy. Computer programmers with AI expertise are in high demand right now, and Python developers are no exception. A recent article by TechVista pointed out that Python is one of the most sought-after programming languages for data science jobs. As more organizations begin using Python to analyze data sets and create intelligent software, demand for Python programmers will only continue to rise. But what does this mean for you if you’re thinking about a career as a Python programmer? How can you stay ahead of the game and make sure your skills are relevant even in a rapidly changing world? Let’s take a look at some important considerations you should make before entering the world of Python jobs.
What is Python?
Python is a general-purpose programming language developed in the early 1990s. It’s considered a high-level language because it abstracts many common programming tasks and simplifies them. It’s one of the most popular programming languages in the world, with an emphasis on clear syntax and readability. The most common use for Python is creating web applications, although it’s also used in many other contexts. Python is commonly used in data science, machine learning, and artificial intelligence. However, it’s also used in backend engineering and in other types of software development. Beyond the world of software engineering, Python is also increasingly being used in the fields of scientific research, education, and robotics. It’s easily readable by humans, making it a great language for beginners to learn.
Which Skills are Most Important for Python Jobs?
Many job descriptions for Python positions will include skills like SQL, data science, machine learning, and Linux. It’s important to note that these skills are not necessarily unique to Python. They’re just as relevant to other programming languages. However, they are still important skills to have. - SQL - If you’ve ever used a relational database, then you already know SQL. It’s one of the most common programming languages in the world and one that Python programmers use frequently. - Data science - Data science is a field that encompasses a wide variety of skills. The most important of these for Python programmers is data visualization. This includes skills like graphing and making charts with Python code. - Machine learning - This branch of AI is used to train software to make more accurate predictions. If your Python job description includes machine learning, then you’ll want to make sure your skills include R and/or TensorFlow. - Linux - Linux is a type of computer operating system commonly used in server environments. Python programmers often need to install and configure Linux software.
The Pros and Cons of a Career in Python Programming
Pros of a Career in Python Programming - Python is one of the most popular programming languages in the world. There are thousands of software engineers who use Python as their primary language. This means there’s a large community of people to learn from and collaborate with. It’s easy to find a job as a Python programmer. The demand for Python developers is high, and there are many employers looking for Python programmers. Python is a great language for beginners. It’s one of the easiest languages to learn. This makes it a great starting point for someone who has never programmed before. Cons of a Career in Python Programming - Python is primarily used for web development. This means that although you may have a large number of job options, many of them will be similar. Additionally, the language may become outdated as more modern technologies appear.
The future of Python jobs is bright. The language is growing in popularity, and will likely continue to be a relevant skill for years to come. If you’re interested in a career as a Python programmer, make sure to brush up on your SQL, data science, machine learning, and Linux skills. Remember that these skills apply to other languages as well. Finally, remember that any career path has its pros and cons. Python may be a great career choice for you, but it’s important to make sure you’re prepared for what comes with it as well.