Hire Lead AI Developers
One of the most remarkable technical breakthroughs of our time is the development of Artificial Intelligence (AI). AI has become a ubiquitous part of our daily lives, from our use of navigation systems to help us get to our destination to the use of smart parking technology to ensure safe parking and the recommendation of online items tailored to our needs. AI can also be used to plan meetings, or even to help us find our new favourite TV show. AI has truly revolutionised the way we live our lives.
AI is always growing, and in the next decades, we will witness more AI-powered voice assistants managing our everyday tasks.
As a result of the growing demand for AI-related tasks, the need for remote Lead AI developer jobs is rapidly on the rise. Working as an AI engineer is an exciting and rewarding experience. Before embarking on a career in the field, however, it is important to have a good understanding of the responsibilities of the role and what it is like to work in the AI industry.
What is the scope of AI research?
Artificial intelligence is already having an influence on our future, and there is a growing need for educated engineers.
Lead Artificial Intelligence (AI) developers are highly sought-after due to the incredible potential of AI technology to enhance human capabilities in areas such as speech recognition, image processing, business process management, and even the detection of illnesses. AI is increasingly seen as the key to making advancements in a range of specialised fields, and as such, the demand for experienced AI developers is growing rapidly.
Due to the increasing utilisation of Artificial Intelligence (AI) in a variety of fields, such as healthcare and education, the demand for professionals with AI-related skills has experienced extraordinary growth on a global level. Consequently, AI job opportunities have been created in abundance.
Over the last four years, there has been an exponential growth of almost 75% in AI-related professions. It is projected that this trend will remain consistent in the years to come, making a career as a Lead AI Developer an attractive and financially rewarding pursuit. Moreover, due to the ever-increasing demand for AI-related services, the demand for experienced personnel in this field is expected to remain high for the foreseeable future.
What are the duties and obligations of a Lead AI developer?
Lead Artificial Intelligence (AI) engineers are responsible for designing and constructing AI models from the ground up to help businesses make informed decisions. They create systems that are capable of predicting future events, identifying and resolving problems, and providing practical solutions. By doing so, these engineers help organisations improve their productivity and efficiency.
As a Lead Artificial Intelligence Engineer, you will be responsible for developing and evaluating algorithms, using tools like R and other relevant programming languages, and presenting the final products to customers. You will be a key part in the development of these products and ensuring that they meet customer requirements and expectations. Furthermore, you will be involved in researching and developing new algorithms, as well as testing and debugging existing ones, to ensure optimal performance. Your technical abilities will be essential in driving the success of this position.
The duties of lead AI developers are extensive. As an example,
- Convert machine learning models into application programming interfaces (APIs) that other applications may utilise.
- Create AI models from the ground up and assist various segments of the firm in understanding the model’s outcomes.
- Organise the setup for the data science team.
- Create an infrastructure for data input and transformation.
- Perform statistical analysis and fine-tune the data so that the company can make better decisions.
- Create and manage artificial intelligence product and development infrastructure.
- Excellent team player.
How does one become a Lead AI developer?
In order to pursue a career in AI development, taking certain steps is essential. Even though formal education is not a requirement to become a professional Lead AI developer, having prior experience or a degree can certainly make the process of becoming a successful Lead AI developer easier. However, it is possible to achieve success without either of the two, as long as one has a strong portfolio and a comprehensive understanding of the relevant technical components.
Despite this, when interviewing for a programming position, many companies prefer applicants with a Bachelor’s degree in Computer Science or a related field. This academic qualification provides a strong foundation to understand the fundamentals of programming languages and their various specialisations. Additionally, obtaining such a degree can open up more career opportunities, as well as the potential to earn a higher salary.
Most AI professionals have acquired a comprehensive understanding of AI concepts by participating in webinars, BootCamps, and other online courses prior to applying for Lead AI Developer roles that are remote. If you have a solid comprehension of the necessary skills and a firm grasp of relevant programming languages, you can create an impressive portfolio to showcase your proficiency to potential employers.
Let’s have a look at the skills and approaches required to become a successful front-end developer right now:
Qualifications for a Lead AI Developer
Begin by acquiring all of the fundamental skills required to get high-paying remote Lead AI developer jobs.
PythagoreanWorking with Artificial Intelligence (AI) requires the processing of large volumes of data in a timely manner. Python is an attractive choice for AI due to its user-friendly syntax, which is similar to conventional English and makes it easy to learn and write. Additionally, Python’s libraries provide the necessary tools to link elements in complex systems, which is invaluable in AI. Moreover, the extensive range of libraries available in Python allows developers to access, manage, and edit data without having to construct them from scratch, thus enabling continuous data processing which is essential for AI.
JavaJava is a powerful programming language that is platform independent, allowing applications created using it to be deployed instantly across multiple platforms. This is possible due to its Virtual Machine Technology, which ensures platform-specific information is included in one uniform package. Additionally, Java supports a range of Artificial Intelligence (AI) programming techniques, including machine learning, genetic algorithms, search algorithms and neural networks.
C++C++ is an ideal programming language for the development of artificial intelligence (AI) applications due to its versatile range of programming tools and library functions. It is a multi-paradigm language that is highly compatible with object-oriented concepts, making it a suitable choice for data organisation and manipulation. Furthermore, C++ is well-suited for solving complex AI tasks due to its high-level of abstraction, allowing for efficient coding and debugging.
LISPLISP is an established programming language that has been used in the development of artificial intelligence (AI) for many years. It is the second oldest programming language after Fortran and has evolved into an advanced and dynamic coding language. Its versatile nature makes it a highly desirable choice for AI developers, as it provides a platform that can quickly be adapted to the user’s needs, allowing for the creation and testing of AI solutions in a more efficient manner. LISP is a programming language that can be tailored to the user’s requirements and is particularly effective in dealing with specific problems.
Big Data and Spark technologiesLead Artificial Intelligence (AI) developers are tasked with managing huge volumes of data on a daily basis, similar to the amount of information found in a digital library. To gain insights from this data, they require access to big data tools such as MongoDB and Cassandra. As AI software continues to evolve, more algorithms are necessary to allow for the processing of data in real-time. Moreover, open source Spark or Hadoop technologies must be utilised to store and assess data in the cloud.
Algorithms and FrameworksAll aspiring Lead Artificial Intelligence developers must have a thorough comprehension of machine learning methods, such as linear regression, K-Nearest Neighbours, Naive Bayes, Support Vector Machines, and other approaches, before attempting to devise machine learning models that are uncomplicated. Furthermore, when dealing with unstructured data, including photos and videos, it is crucial to be knowledgeable in deep learning techniques and possess the expertise to construct them using a framework.
Where can I get remote Lead AI developer jobs?
Successful athletes and developers have many similar qualities; the importance of hard work and dedication, and the need for continual practice and development of their skill set. In order to make progress, developers must focus on two key components: having access to a mentor who is more experienced and successful in the industry, and the implementation of more effective practice methods. It is essential to find balance in the amount of practice that is done to avoid the risk of burnout. Having someone knowledgeable to provide support and guidance will ensure that the most effective practice regimen is followed.
At Works, we provide the best remote Lead AI developer jobs to enable you to reach your professional aspirations. By working with the latest technologies on intricate technical and commercial problems, you can achieve accelerated career development. We have an extensive network of the finest developers in the world, allowing you to access full-time, long-term remote Lead AI developer roles with higher salaries and more possibilities for professional growth.
Responsibilities at work
- Create and implement an effective AI solution architecture.
- Perform model training and assessment to improve performance.
- Lead the team in the development of a future AI-enabled application.
- Address customer needs using various AI technologies and methodologies.
- Advanced consultation and substantial technical advice are provided.
- Create novel solutions to complicated challenges.
- Create prototypes to test ideas based on existing technology.
- Bachelor’s/Master’s Degree in engineering, computer science, or information technology (or equivalent experience)
- At least 5 years of experience developing applications using AI/ML technology (rare exceptions for highly skilled developers)
- Excellent knowledge of Java, Python, deep learning, C++ programming, Tensorflow, Caffe, PyTorch, and other programming languages.
- Prior expertise developing and executing a reliable Microservices architecture is required.
- Capability to derive insights from data using mathematical concepts
- Benchmark is confident in providing goods employing computer vision and deep learning algorithms.
- Capability to verify and test the solution in real-world scenarios
- English fluency is required for good communication.
- Work full-time (40 hours per week) with a 4-hour overlap with US time zones
- Experience with cloud services such as Azure, AWS, or GCP Knowledge of Frequentist and Bayesian statistics
- Working knowledge of Git and DevOps tools
- Capability to deal with ambiguity and abrupt changes in priorities and circumstances
- Working knowledge of Agile/SCRUM environments Excellent communication, interpersonal, and organisational abilities