Machine Learning Engineer for AI Innovation
hace 2 semanas
Unlock the Future of Legal Technology
At Plain Concepts, we're pushing the boundaries of innovation in the legal sector. As a talented Machine Learning Engineer, you'll collaborate with our experts to develop pioneering solutions that simplify the daily work of professionals in law, finance, HR, and public administration.
Key Responsibilities:
- Stay ahead of the curve in AI advancements, integrating cutting-edge technologies into our stack.
- Deepen your understanding of the legal context to create intuitive solutions for lawyers, legal experts, and HR professionals.
- Design and develop ML/DL/NLP prototypes, from chatbots to document search and recommendation.
- Continuously refine your models and algorithms for robustness, stability, and scalability.
- Work closely with production teams to deploy your solutions, ensuring seamless integration.
Requirements:
- 3+ years of experience in Machine Learning with PyTorch, pytest, TensorFlow, Keras, SpaCy, and NLTK.
- A proven track record of delivered AI projects.
- Strong knowledge of ML and Deep Learning or NLP.
- Experience with Python, its ecosystem, and tools like Poetry, Pydantic, and Mypy.
- Expertise in RAG and familiarity with LLMs, Azure Open AI solution, and M365 Copilot.
- Comfortable with MLOps tools and Agile Methodologies.
What We Offer:
- A permanent contract with a competitive salary and benefits.
- A hybrid work model, with 2 days per week in the office.
- Ongoing career development and opportunities for growth.
- Restaurant tickets and a bonus for teleworking.
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