Senior Machine Learning Engineer

Mission

Are you ready to take part in the upcoming AI revolution of the business world? If the answer is a resounding "yes," we have an extraordinary opportunity for you

If you have a passion for data and technology and want to join a crew of sharp analytical minds, then this may be the right opportunity for you

We are looking for a Senior Machine Learning Engineer in Madrid or Barcelona to focus on building end-to-end top-level decision-making tools with cutting-edge Agentic AI. You would get a chance to take part in leading the development of features of our products and perform the following tasks.

Responsibilit

• Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration
• Partner with Data Scientists and Engineers to bring AI solutions and Laboratories to the product
• Supervise, review, and validate pull requests, deployment, and development flows in the AI team.
• Drive continuous improvements in MLOps processes and tools
• Sponsor the creation of new software and ML standards in the AI team
• Ensure the quality of your own and your team's developments
• Interact with other functions and agree on data exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End,...)
• Ensure adherence to best practices in ML model governance and compliance
• Keep up to date with the latest trends in AI and

Your profile

• 5 years' experience in a Machine Learning Engineer or Data Scientist role

  
  

• 5 years' experience with production-level Python code, strong programming skills. Bonus: having contributed to AutoML libraries, SaaS AI products

  
  

• 3 years' experience in machine-learning methodologies (Machine Learning and Deep Learning

  
  
• Familiarity with cloud-based infrastructure and services (AWS preferred)
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Experience with version control and CI/CD systems (GitHub Actions preferred).
• Versed in the industry-standard MLE stack: MLflow, Airflow, DBT, REST APIs
• Experience communicating technically, at a level appropriate for the audience
• Ability to work in a fast-paced environment and learn quickly
• Enthusiasm for the latest advances in GenerativeAI(Bonus)
• Cloud certifications (preferably AWS)(Bonus)
• Background in product or AI SaaS companies(Bonus)
• Experience with GenAI stack: OpenAI, Claude, Langfuse, GenAI APIs, Langchain, PyTorch(Bonus)
• Proven track record of applying LLMs to improve their personal productivity

Who are we?

Founded in 2020 in Munich, we at Aily Labs are a rapidly expanding start-up in the B2B SaaS area. We've already assembled a super innovative, smart, and fun team of almost 320+ highly motivated employees around our offices in Munich, Barcelona, Madrid, Cluj, and New York.

At Aily Labs, we have the bold mission to democratize AI. Our groundbreaking product is an AI-powered mobile app that uses cutting-edge GenAI and traditional ML to unlock valuable business insights and give personalized recommendations. Our aim? Disrupting the way corporate entities operate, paving the way for the world's first AI decision intelligence platform that enables faster, simpler, and smarter decision-making across the entire value chain, aiming towards full Agentic automation of key business goals.

What sets us apart?

• We are an internationally diverse team that supports one another.
• We develop high-quality software and thus create sustainable added value for our customers.
• We live in a feedback culture, so that we can constantly reflect and improve.
• We enjoy new technologies and love to learn new things and grow with them.
• We give freedom for further training because lifelong learning is important to us.