At Plain Concepts, we are collaborating with one of our clients, a leader in technological innovation for the Legal sector in Spain, developing pioneering solutions in automation, artificial intelligence, and specialized software.
We are looking for a talented and creative Machine Learning Engineer to join our team of experts and collaborate in the development of pioneering products that make the daily work of professionals in the legal, fiscal, human resources, and public administration sectors easier.
What will you do on a daily basis:
Identify, analyze, and integrate state-of-the-art evolutions in artificial intelligence to improve our stack.
Understand the legal context of our products for lawyers, legal experts, and HR professionals.
Develop new features and products and help identify new opportunities.
Interact with the AI team manager and AI product manager to understand their expectations regarding use cases and user experience.
Design and develop ML/DL/NLP prototypes (chatbots, information extraction or enrichment, search and recommendation of legal documents, etc.) in different languages.
Continuously improve the models and algorithms to maintain robustness, stability, and scalability.
Deploy a test environment and enhance it regarding data, test coverage, and reproducibility.
Participate in maintaining and updating coding best practices.
Support production teams in implementing and deploying the developed solutions.
Minimum Requirements:
3+ years in Machine Learning with tools like PyTorch, pytest, TensorFlow, Keras, SpaCy, NLTK.
Proven track record of delivered AI projects.
Very good knowledge of ML and Deep Learning or/and very good knowledge of NLP.
Knowledge of artificial neural networks is a plus.
Extensive experience with Python and its ecosystem, including Poetry, Pydantic, Mypy, FastAPI.
Expertise in RAG (Retrieval Augmented Generation) principle.
First experience with LLMs , preferably OpenAI or Gemini, Huggingface, Mistral, Midjourney.
Familiarity with Azure Open AI solution and M365 Copilot is a plus.
Comfortable with MLOps tools.
Familiarity with software engineering best practices.
Comfortable with CI/CD concepts and tools like Git, Docker.
Professional English level.
Experience with Agile Methodologies.
What We Offer:
Permanent contract (final company).
Intensive schedule on Fridays, July, and August.
Flexible start and finish times.
Salary in line with market standards and your experience.
Hybrid work model (2 days per week in the office, 3 at home).
Restaurant tickets.
Tangible career development plan.
Bonus for teleworking.
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