Senior Ai/Ml Engineer

AILY LABS
Madrid, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Continuous Integration Information Engineering DevOps Python (Programming Language) Machine Learning Software Engineering Management of Software Versions Large Language Models AI Platforms
+4 more
Kubernetes Machine Learning Operations Front End Software Development Docker

Job description

Job Summary We are looking for Senior AI/ML Engineers who are passionate about the power of AI and love building robust AI/ML systems.Turn models into reliable, scalable products, ensuring our AI solutions are production?ready, efficient and impactful.The AI Platform team is the backbone of Aily’s decision intelligence.We design, build, and operate libraries, tools, and the shared AI/ML infrastructure that enables AI & Data teams to empower business?critical decision?making for our enterprise users.Our three missions are to enable innovation at scale, minimize entropy, and accelerate progress for Aily.Key ResponsibilitiesSupport productization of AI/ML models and LLMs by working on APIs, infrastructure, and applying software engineering best practices (testing, CI/CD, versioning).Partner with Data Scientists and Engineers to bring AI solutions to production.Design and implement end?to?end ML pipelines (data ? model ? deployment ? monitoring) autonomously.Contribute to APIs, tools, and libraries used by more than 100 AI team members daily, including Cloud & LLM Infrastructure and AI?driven features.Communicate with your team: present results and findings, identify gaps and opportunities, and explain our product and software/AI behind.Own complex projects, lead technical initiatives from design to implementation (refactoring, standardization).Ensure the quality of your own and your teams’ developments.Interact with other functions to agree on exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End).Sponsor the creation and implementation of new software and ML standards in the AI team.Qualifications5+ years of experience in AI/ML engineering.Strong AI/ML fundamentals, deep AI/ML knowledge, outstanding problem?solving skills.Strong software engineering practices, experience with Python, APIs, Kubernetes, Docker, and Cloud.Ability and willingness to lead and mentor junior team members.Strong collaboration skills; can work with Data Scientists, Product Managers, and Engineers, and explain trade?offs and designs in simple terms.Comfortable with ambiguity, proactive, hands?on, and willingness to improve things beyond immediate scope.Has legal right to work in Spain or Germany.Ideal Candidate ProfileA builder: you enjoy shipping reliable solutions, improving systems and tooling, and making things work in production at scale.You are impact?driven and thrive at the intersection of AI, business, ML engineering, and product.You want to build real systems that power decision?making at scale.BenefitsGlobal company and culture.Fast growth path.Hybrid working model.#J-*****-Ljbffr

Requirements

5+ years of experience in AI/ML engineering. Strong AI/ML fundamentals, deep AI/ML knowledge, outstanding problem?solving skills. Strong software engineering practices, experience with Python, APIs, Kubernetes, Docker, and Cloud. Ability and willingness to lead and mentor junior team members. Strong collaboration skills; can work with Data Scientists, Product Managers, and Engineers, and explain trade?offs and designs in simple terms. Comfortable with ambiguity, proactive, hands?on, and willingness to improve things beyond immediate scope. Has legal right to work in Spain or Germany. Ideal Candidate Profile A builder: you enjoy shipping reliable solutions, improving systems and tooling, and making things work in production at scale. You are impact?driven and thrive at the intersection of AI, business, ML engineering, and product. You want to build real systems that power decision?making at scale.

Benefits & conditions

Global company and culture. Fast growth path. Hybrid working model. #J-*****-Ljbffr

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