Machine Learning Engineer | D022

ML Engineer

Are you a Software Engineer looking to expand your expertise into the exciting world of Machine Learning and AI? At MOSAIC, we specialize in predictive, optimization, and simulation solutions for the mobility and logistics sectors, leveraging Big Data, Machine Learning, and AI.

About Us: Mosaic Factor is a Barcelona-based startup with currently 12 employees. We were founded in April of 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 in understanding and improving flows of people and goods, respecting people's privacy and business sensitivity and soon developing more robust and fair AI.

Data is at the center 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.

What we'll do for you:

• We practice the golden rule - we treat you as you want to be treated.
• We only hire people we trust (seriously it's written in our core values), so from day one, you'll be treated as an expert with valid opinions.
• You'll work with us, not for us.
• We want to help you achieve your goals, while you help us achieve ours.
• We have a relaxed and flexible small business work environment with tons of opportunity for growth and upward mobility.
• We've also got you covered with full health benefits, vacation, and paid holidays.

In short, we let you be... well... You

• Competitive compensation including Medical Insurance
• Restaurants and Transport cards
• Continuous learning and customised training
• Fun Work Environment and Casual Dress Code
• Hybrid work, mostly remote
• Flexible Schedule

Who you are:

You combine logic and organisational skills with pragmatic creativity and a problem-solving mentality. You are 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.

You will 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

What you'll do:

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

Requirements:

• 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.

If you think you are a good match for this position, then let us know about you and send us your CV: (email protected)