Data Enhanced Products

Through different data sources (ie. physical tests) and ML models and usually in combination with our digital twin solutions, our data enhancement solution can learn, predict, and simulate outcomes to provide automatic product configurations that result in product and component improvement during the development process.

View solution

Data As a Service Products

Data as a Service (DaaS) is a cloud-based model that allows companies to access, manage, and analyse data on demand, without the need for extensive on-premise infrastructure.

View solution

Optimisation Models

Optimisation AI models allow our client to improve processes, reduce costs and increase competitiveness.

View solution

Descriptive Models

Descriptive models aim to describe patterns, relationships, and structures within data. They don’t predict future outcomes but provide insights into existing phenomena.

View solution

Predictive Models

Predictive modelling, also known as predictive analytics, is a discipline that uses statistical, mathematical and artificial intelligence techniques to predict future outcomes based on historical data.

View solution

LLMs

At Mosaic Factor, we focus on the creation of domain specific LLMs (or light Large Language Models) for our client organisations.

View solution

Synthetic Data

Synthetic data is artificial data generated from original data using a model trained to reproduce its characteristics and structure.

View solution

Digital Twins

To allow your business to monitor and optimise your assets in real-time Mosaic Factor uses Digital Twins. They can predict failures, detect inefficiencies, and improve decision-making through the use of data.

View solution

Predictive Maintenance

For Predictive maintenance models, we use historical and real-time data to anticipate equipment failures or maintenance needs. By analysing sensor data, maintenance logs, and other relevant information, we can schedule maintenance proactively, reduce downtime, and extend the lifespan of your machinery.

View solution

Demand Cost Forecasting

Our predictive models help businesses forecast demand for products or services. By analysing historical sales data, seasonality, economic factors, and external events we can optimise inventory levels, allocate resources efficiently, and minimise overstock or stockouts.

View solution

Quality Analytics

We identify patterns that correlate with defects or quality issues, allowing your business to take corrective actions early and maintain high-quality standards.

View solution

Inventory Management

We use predictive models to optimise inventory levels by considering factors such as lead time, demand variability, and storage costs.

View solution

Supply Chain Management

We can use historical and real-time data analytics to manage the supply chain, optimise transportation and ensure on-time product delivery.

View solution

Market Understanding

Our descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.

View solution

Pattern Exploration

Our descriptive AI models provide valuable insights for decision-making and understanding complex systems of your organisation.

View solution

Trustworthy AI

When using AI models in environments where compliance standards are important, Mosaic Factor can help your company be on top of data governance by applying trustworthy AI solutions.

View solution

Logistics

Logistics

Mosaic Factor’s higher priority in Logistics is sharing key data across different Supply Chain players to optimise performance while managing sustainability by mitigating the impact of these operations.

View industry

Automotive

B:SM Tram Parquímetre

Mosaic Factor’s apply AI solutions in various aspects of the automotive industry, usually by enhancing vehicles and its components during its development.

View industry

Mobility

Mobility

Mosaic Factor’s higher priority in Mobility is to optimise transport systems to people’s mobility while improving overall security and sustainability of transport solutions.

View industry

Corporate Services

Corporate Services

Our machine learning and complex algorithms help organisations manage compliance and customer service to increase the service level of your organization while optimising resolution time for several processes.

View industry

Manufacturing

Manufacturing

Mosaic Factor’s higher priority in Manufacturing is aid our clients decrease costs, increase sustainability while streamlining the production chain.

View industry

Healthcare

Healthcare

Mosaic Factor’s higher priority in Healthcare is making use of data to improve patient care and monitoring in a safe manner to optimise healthcare systems resources and assisting healthcare professionals.

View industry

ML Engineer

Are you a Software Engineer looking to expand your expertise into the exciting world of Machine Learning and AI? At Mosaic Factor, we specialise in predictive, optimisation and simulation solutions for the mobility and logistics sectors, leveraging Big Data, Machine Learning, and AI!

If you are highly motivated and feel passionate about technology and continuous learning, here you’ll have the opportunity to develop your professional career at international level.

ABOUT THE OPPORTUNITY

We are looking for a Software Engineer with a growing focus on Machine Learning who will contribute to building scalable, efficient back-end systems while also gaining hands-on experience designing and deploying ML models. This role is ideal for a software engineer eager to explore AI-driven solutions and develop their skills in cutting-edge technologies.

You will work closely with data scientists, product managers and engineers to design robust back-end applications and gradually integrate advanced ML models into production environments. If you are a curious and adaptable software engineer ready to develop your skills in both back-end development and AI, this is the perfect role to propel your career forward. Join us and grow into a key contributor to innovation in automotive, mobility and logistics!

WHAT YOU NEED TO BE SUCCESSFUL

Academic Background: A degree in Software Engineering, or a related field, with a focus on AI and software development.

Technical Expertise:

  • Proficiency in back-end development using OO programming languages like Python or Java. Experience with efficient programming languages like Rust is a plus.
  • Solid understanding of building scalable and maintainable APIs and microservices.
  • Hands-on experience designing and deploying ML/AI models with frameworks such as TensorFlow or PyTorch.
  • Familiarity with Explainability AI (XAI) to create interpretable and transparent ML solutions.
  • Knowledge in building applications powered by LLMs, leveraging RAG and agent-based frameworks.

DevOps & Infrastructure: Experience with containerization tools like Docker, version control systems (Git), and CI/CD pipelines.

Problem-Solving: Proven ability to integrate ML solutions into production-grade software systems.

Collaboration: Strong communication skills to work seamlessly with cross-functional teams, including product managers, data scientists, and engineers.

WHAT WE OFFER

  • Social benefits
  • Flexibility
  • Relaxed and modern work environment
  • Offices in Barcelona 22@
  • Home-office option
  • The chance to work in a fast moving, innovative and international environment, dealing with different countries and cultures

YOU WILL

  • Combine your logic and organisational skills as well as pragmatic creativity, together with a problem solving mentality.

  • Are you already a curious and adaptable software engineer ready to develop your skills in both back-end development and AI? This role is ideal for a software engineer eager to explore AI-driven solutions and develop their skills in cutting-edge technologies.

  • Work closely with data scientists, product managers, and other engineers to design robust back-end applications and gradually integrate advanced ML models into production environments. You’ll fit in here if you are hardworking, know how to have a good chuckle and want to be part of an awesome team that loves to celebrate a win!

HAVING EXPERIENCE IN ONE OR MORE OF THESE POINTS WILL BE A PLUS

  • Knowledge/experience on development of ML and AI solution
  • Knowledge/experience with AWS, mainly compute, storage and ML/AI. Google Cloud also valuable
  • Deep experience on back-end development in Java, .NET and/or Python
  • Experience on web development with React. Valuable experience on mobile apps development

ABOUT US

Mosaic Factor is a Barcelona-based startup with currently 12 employees. We were founded in April 2016 by an agile development believer, a technology guru, and a sustainability dreamer who had a vision to exploit the power of data to improve the lives of others.

Our software-as-a-service products help understand and improve flows of people and goods, respect people’s privacy and business sensitivity and soon develop more robust and fair AI. Data is at centre of all our activities.

If you’re looking for a startup company that values transparency, empathy, personal, AND professional growth, but still knows how to have some fun – we’re the company for you. We’re disrupting the world’s largest market – the world you and we live in. Our team is expanding slowly but steadily, and we want you to help us continue our growth.

Mosaic is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Don’t hesitate, come and join us!

Apply

If you think Mosaic Factor is the right fir for you, please send your details along with your CV here:




    * Max file size: 4mb

    *Fields marked with an asterisk are mandatory