SII Group USA support one of its cuistomer in its Product Development journey in the field of highly specialized software and IT tools for legal, tax, accounting, trading, and compliance professionals, in conjunction with one of the world's largest information service!
As a Senior AI / ML Engineer, you will be part of a global interdisciplinary team of experts driving the company's digital transformation.
We are looking for a flexible individual who can think in code and enjoys learning and developing new skills!
Your role
- Creating and delivering modern software in line with the entire software lifecycle
- Developing scalable ML solutions and creating large-scale data processing pipelines to help researchers build and train novel machine learning algorithms
- Working in a team-oriented environment, sharing information, valuing diverse ideas, and collaborating with interdisciplinary and remote teams
- Contributing innovative ideas, creating solutions, and effectively expressing ideas for technical development
- Providing development in Python for production applications, container deployments with Docker, and test-driven development
- Emphasizing highly flexible workflow and close collaboration with applied scientists in a dynamic R&D environment
- Applying, integrating, and deploying Machine Learning capabilities and techniques into other systems
Your skills, your profile
- Bachelor or Master Degree with at least +5 years experience
- Strong communication skills, result oriented mind-set and outsatnding team spirit
- Experience integrating Machine Learning solutions into production-grade software and understanding of ModelOps, and MLOps principles
- Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
- Experience in handling Large Language Model (LLM) dedicated to Text Analysis
- Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
- Understanding and translating between language and methodologies used both in research and engineering fields
- Successfully taking and integrating Machine Learning solutions to production-grade software
- Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
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