Machine Learning Engineer

**Company: ReBatch | Reproducible Machine Learning in production Job Description Summary: The company ReBatch specializes in using Machine Learning and Large Language Model Operations to create advanced models for production environments. They work with a diverse range of clients and focus on Computer Vision and Natural Language Processing applications. The Large Language Model Engineer role involves implementing and fine-tuning these models, collaborating with cross-functional teams, staying up-to-date on advancements in AI, and adhering to best practices in AI ethics. The ideal candidate should have a Master’s or PhD in a relevant field, at least three years of professional experience, strong analytical abilities, proven experience in deploying LLMs, and expertise in frameworks like TensorFlow and PyTorch. Fluency in Dutch and English is required. The company offers the opportunity to deploy and finetune cutting-edge models, competitive salary and benefits, and a collaborative work environment. Job Description: At ReBatch, we specialise in utilizing Machine Learning (ML) and Large Language Model Operations (LLMOps) to build, deploy, and monitor advanced models within production environments. Our focus lies in harnessing the power of these cutting-edge technologies to deliver superior solutions customised for a diverse set of clients that includes government bodies at the European or federal level and private sector entities in the legal and industrial domains. Our expertise centres on crafting scalable and replicable ML systems, with a focus on Computer Vision and Natural Language Processing (NLP) applications. Our strategy involves utilizing cutting-edge open-source foundational models (such as Mixtral-8x7b) to achieve our objectives effectively. In your role as a Large Language Model Engineer, you will engage closely with a diverse range of clients, collaborating with Data Scientists and fellow Machine Learning Engineers to develop comprehensive end-to-end solutions. Your role extends……… beyond technical expertise to include consultancy and active participation in data science. You will be responsible for ensuring that our machine learning models not only deliver precise, reliable results but also maintain their effectiveness and efficiency over extended periods in production. Your primary focus will be on implementing LLM solutions, both cloud-based and on-premises. Key Responsibilities: • Implement large language models for various applications in the cloud or on-premises • Fine-tune models based on specific use-cases and performance metrics. • Collaborate with cross-functional teams to integrate LLMs into existing products and services. • Conduct research to stay on-top of the latest advancements in LLMs and AI. • Analyse and interpret complex datasets to improve model accuracy and efficiency. • Provide technical guidance and support for LLM-related projects. • Document and present findings and developments to stakeholders and team members. • Adhere to best practices in AI ethics and responsible AI usage. • Building production-grade solutions and integrating them into an existing IT systems. We are looking for a candidate who possesses the following qualifications and skills: • A Master’s or PhD degree in a relevant field such as Mathematics, Statistics, Data Science, Computer Science, Engineering, or a related discipline. • A minimum of three years of professional experience in roles such as a Machine Learning Engineer or Data Scientist. • Exceptional analytical abilities and strong problem-solving skills. • Ability to present your findings to a non-technical audience • Proven experience in deploying Large Language Models (LLMs) in production settings. • Proven expertise in adapting and fine-tuning LLMs for diverse domains or languages. • Solid experience in building models using frameworks like TensorFlow, PyTorch, Keras, or scikit-learn. • Advanced skills in Python programming and familiarity with libraries such as Pandas and NumPy. • While not mandatory, experience in optimizing LLMs using CUDA or Triton will be considered a significant advantage. • Fluency in Dutch, coupled with a professional level of proficiency in English. What we offer: • Possibility to deploy and finetune SOTA LLM models • Deploy and monitor your model in the cloud • An innovative environment with the benefits of a big organization (part of Cronos group) with the freedom and flexibility of a startup • Great colleagues to brainstorm with! • Competitive salary and benefits such as: company car, hospital insurance, group insurance and a laptop Don’t worry if you don’t fit the bill perfectly; at ReBatch we invest in technical and personal development Company: ReBatch | Reproducible Machine Learning in production Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Belgium, Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP Company: ReBatch | Reproducible Machine Learning in production Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Belgium, Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP

Company:ReBatch | Reproducible Machine Learning in production

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):Senior (5+ years of experience)