We are looking for Full Stack Developer for remote position having 1-3 years of an experience in following technologies stack.
Programming Skills:
- C# , Asp.net
- Asp.net Mvc,
- .Net Core
- Web Api, Rest Api
- Html, Css, Bootstrap
- JavaScript, Jquery,
- AngularJs,
- Ajax Kedno UI, DevExpress
- Entity framework (CodeFirst, ModelFirst, DBFirst)
- LINQ, SQL, Git, TFS
- Hands-on experience with GIT or Azure DevOps and repositories.
- Understand business logic involved in the system and deliver as per client’s requirement.
- Create process flows and code accordingly for enhancements and changes.
- Ability to solve problems quickly and completely with proactive involvement.
- Team player with good communication skills and positive attitude towards work.
- Perform Unit and Integration Testing.
- No compromise on below programming, which is a must
- Front-end development: HTML, CSS, JavaScript, ReactJS, AngularJS
- Back-end development: Node.js, Ruby on Rails, Django (Python), PHP (Laravel)
- Database management: MySQL, MongoDB, Oracle, SQL Server
- Mobile app development: Swift (iOS), Java (Android)
- Cloud computing: Amazon Web Services (AWS), Microsoft Azure
We want the person to be male and from Pakistan preferably Islamabad, while working he is not allowed to use any platform to do business.
Have to sign non compete and non disclosure NDA and even outside working hours is not allowed
English should be fluent
As well as above For AI we need the following:
Python: One of the most popular programming languages for AI due to its simplicity, vast libraries and support for machine learning.
R: A language specifically designed for data analysis and statistical computing, making it well-suited for AI tasks that involve large amounts of data.
Java: A general-purpose programming language that is widely used for building large-scale AI systems.
C++: A high-performance programming language that is often used for developing AI systems that require real-time performance.
Julia: A relatively new programming language that is
In addition to the programming language, having a strong understanding of mathematical concepts such as linear algebra, calculus, and statistics is important for AI development.
Familiarity with machine learning algorithms and libraries, such as TensorFlow, PyTorch, and scikit-learn, CUDA
is also critical. Furthermore, experience with cloud computing platforms like Amazon Web Services (AWS) or Microsoft Azure can be beneficial for building and deploying AI systems at scale.
In addition to Python, other programming languages such as C++ and CUDA may have also been used for implementing some of the low-level components and optimizing the performance of the model.
Natural Language Processing (NLP) libraries: NLP libraries like spaCy, NLTK, and OpenNLP are used for processing and analyzing natural language data, which is a critical component of language
Deep learning: Deep learning is a subset of machine learning that uses artificial neural networks to model and solve complex problems. Deep learning models like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are widely used in advanced AI applications like computer vision, speech recognition, and natural languages
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