Machine Learning Innovator
hace 1 semana
As a highly skilled Machine Learning Engineer, you will play a pivotal role in advancing pioneering products that simplify professionals' daily work in law, fiscal, human resources, and public administration sectors. Located at Plain Concepts, this position demands exceptional technical expertise and collaboration with experts to drive innovative solutions. Your primary focus will be on designing and developing cutting-edge ML/DL/NLP prototypes across various languages.
**Salary:** A competitive salary between $120,000 and $180,000 per year, commensurate with experience, reflects your value to our organization.
Responsibilities:
- Identify, analyze, and integrate AI advancements into our tech stack
- Develop a deep understanding of legal contexts for lawyers, legal experts, HRs, and create products addressing their needs
- Collaborate with AI team manager and product manager to define use cases and user experiences
- Design and develop ML/DL/NLP prototypes (chatbots, information extraction/enrichment, search, and recommendation of legal documents)
- Continuously improve models and algorithms for robustness, stability, and scalability
- Deploy test environments and enhance them for data quality, test coverage, and reproducibility
Requirements:
- 3+ years of Machine Learning experience with tools like PyTorch, pytest, TensorFlow, Keras, SpaCy, NLTK
- Proven track record of delivered AI projects
- Excellent knowledge of ML and Deep Learning or NLP
- Knowledge of artificial neural networks is a plus
- Extensive Python experience with its ecosystem as Poetry, Pydantic, Mypy, FastAPI
- Expertise in RAG (Retrieval Augmented Generation) principle
- First-hand experience with LLMs, preferably OpenAI or Gemini, Huggingface, Mistral, Midjourney
- Familiarity with Azure Open AI solution, M365 Copilot is a plus
- Comfortable with MLOps tools and CI/CD concepts using Git and Docker
- Professional English level
- Experience with Agile Methodologies
Benefits:
- Permanent contract
- 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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