Machine learning is a form of artificial intelligence.

It is also known as automatic learning. The computer receives streams of data that enable it to learn and respond. Machine learning developers create, manage and fine-tune the computer programmes that enable this technology to be implemented.

Machine learning (ML) is the application of statistical methods to algorithms to make them more intelligent. The computer receives a large amount of information and uses it to deduce patterns and reasoning. Machine learning is a form of artificial intelligence that operates independently, provided it is supplied with the information that enables it to learn autonomously.

Overview and responsibilities of a machine learning developer

The machine learning developer specialises in data analysis techniques, algorithms and statistics. Big data is their working environment; programming languages are second nature to them. They design and develop innovative machine learning solutions to advance artificial intelligence, across all fields (computer vision, natural language processing or others
).

They devise the best solution to ensure the most satisfying user experience possible.

They bridge the gap between data, a task to be completed, a learning algorithm and a performance metric. They orchestrate the whole process.

For example, a machine learning developer might work on the creation of autonomous robots or in the e-commerce sector, creating solutions for analysing raw text: emails, customer reviews, newspaper articles, social media posts, and so on.

Business implications

The work of a machine learning developer touches on all sectors involved in artificial intelligence: e-commerce, healthcare, banking, security, transport, logistics


Fraud detection, image recognition and speech recognition are all capabilities made possible by machine learning.

Take, for example, the recommendations we regularly receive (Netflix, La Redoute, etc.). By analysing a user’s browsing history and search queries, machine learning technology is able to identify a consumer’s or customer’s preferences and suggest products that may interest them.

Ethical implications
Machine learning developers can seek assistance from data and AI lawyers and ethics officers to address specific issues relating to security and freedom.

Some of these roles are available within companies. They can also be found working as freelancers or in consultancy firms.

aivancity’s programmes incorporate all aspects of artificial intelligence and its challenges – whether technical, technological, commercial, ethical or legal – into their curriculum. These are comprehensive, blended learning programmes that enable future engineers to acquire the highest possible level of knowledge and a broad range of expertise.
Key skills
Machine learning developers are agile and enjoy working as part of a team. They work closely with data scientists. They possess advanced skills in programming languages such as Python, Java and R. They are familiar with machine learning frameworks (PyTorch, Keras, TensorFlow) and databases (SQL or NoSQL). Keeping abreast of technological developments is part of their daily routine.

They are passionate professionals who recognise that they are working in an exciting field. Their perseverance, enthusiasm and flexibility are their key strengths.

Trends and drivers of change
A machine learning developer may work for a company (in an R&D department) or for a start-up offering ML services. They may subsequently progress to the role of lead developer to manage a team.

Machine learning is a stimulating field in which challenges abound.

Every day, machine learning developers contribute to the refinement and rapid advancement of artificial intelligence. They are a testament to its power.