About us
M47 Labs is an AI Engineering company focused on providing businesses with the latest and most advanced Artificial Intelligence solutions. Our deep expertise in AI-language technologies, including NLP and LLMs, empowers businesses with custom-built cutting-edge solutions. We are dedicated to creating AI-driven applications that can understand, interpret, and respond to human language. Join us in making the future more intelligent.
About you
As a Senior Machine Learning Engineer, you will lead the development of advanced AI solutions, being in charge of building and optimizing machine learning pipelines, fine-tuning models, and orchestrating APIs to deliver scalable and high-performance systems.
Also, you will use your expertise in model evaluation, optimization, and deployment while always keeping in mind the best practices in MLOps you will design innovative AI Solutions using LLM to build STT (Speech-to-Text) and TTS (Text-to-Speech) products.
As a senior member, you will be supporting and mentoring other team members using your technical expertise to solve complex challenges bringing innovative solutions.
About your day-to-day:
What is in it for you?
Indefinite full-time contract
Follow your career ambition with growth opportunities (horizontal and vertical)
On-demand learning budget and ongoing educational company-wide training of relevant topics of our industry
Comprehensive compensation package, including private medical insurance coverage and flexible remuneration through Cobee including meals, gym pass, transport and kindergarten.
Be part of our diverse communities and enjoy our meetups (Women in Tech, LGTBQ+, Wellbeing, City Lifestyle...)
Great international, inclusive and dynamic work environment (more than 20 nationalities!)
What you’ll need:
6+ years of experience in AI/Machine Learning roles.
Proficient in training ML models.
Hands-on experience in selecting, fine-tuning, and deploying LLMs independently.
Previous experience orchestrating workflows with Airflow or Kubeflow.
Proficient in Python for scripting and developing APIs (e.g., FastAPI, OpenAI, and STT/TTS APIs).
Hands-on experience with Docker and CI/CD pipelines.
Version control experience (GitHub/GitLab).
Strong English communication skills.
Degree in Computer Science or related field, or equivalent experience.
What’s nice to have:
Experience with AI cloud platforms (e.g., SageMaker, Azure ML) for deploying ML models.
Previous experience with Retrieval-augmented generation (RAG)