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Senior Machine Learning Engineer

extra holidays - possibility to work some days per months as volunteer
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Spain

Offer summary

Qualifications:

4 years' experience in ML Engineering or Data Science, Proficient in production-level Python, 3 years' experience in machine-learning methodologies, Familiar with cloud services and containerization, Experience with MLE stack and CI/CD systems.

Key responsabilities:

  • Develop tools and frameworks for model training
  • Collaborate with Data Scientists to bring AI solutions to production
  • Supervise code practices and develop MLOps processes
  • Ensure adherence to ML model governance standards
  • Stay updated with trends in AI
AILY LABS logo
AILY LABS Information Technology & Services Scaleup https://ailylabs.com/
201 - 500 Employees
About AILY LABS
We are on a mission to transform ways of working by empowering businesses with meaningful AI. Our decision intelligence app drives AI at scale and unlocks a new level of AI-powered productivity and performance. By putting AI directly into the hands of business users, we empower deeper, smarter, and faster decision-making, accelerating revenue maximization across every part of an organization.
See more AILY LABS offers

Job description

Mission
Responsibilities  
 
  • 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 production
  • 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 teams' 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 MLE
Your profile
Requirements  
  • >4 years' experience in a Machine Learning Engineer or Data Scientist role
  • >4 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 Generative AI
  • (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
  • Professional English a must
Who are we?
About Us

We are Aily Labs, a start-up based in Munich and Barcelona. Aily Labs was founded in Spring 2020 and four years later we are now already a team of +300 super motivated individuals.

Our mission is to build beautiful Artificial Intelligence products. We’re curious, passionate, and relentless in our drive to develop a truly end-to-end product, pushing the boundaries of innovation as far as we can.

We are looking for passionate Machine Learning Engineers to join our mission working either in Barcelona or Madrid.

In Aily we encourage a fun and agile environment. We contribute to the development of the brain of our products.
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. 
Apply for this job

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
MalteseEnglish
Check out the description to know which languages are mandatory.

Hard Skills

Version ControlCloud ComputingOpenAI GymKubernetesData ScienceGenerative Artificial IntelligenceSoftware DevelopmentRESTful APIMLflowMachine LearningCloud SecurityPython (Programming Language)Apache AirflowAgile MethodologyGoogle AutoMLPyTorch (Machine Learning Library)MLOps (Machine Learning Operations)CI/CDDocker (Software)Technical Communication
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