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Machine Learning Engineer
3 months ago
Machine Learning Engineer£80-130k + benefits + stock optionsEuropean RemoteYou'll be diving into large language models and conversational AI, ensuring the AI Asisstant's interactions are as natural and effective as possible.
Why Join?AI/ML driven businessInnovation is core to business successLLM/NLP space, hot topicForge your career path, opportunity to follow leadership or senior IC positionsWork with people from across EuropeCreate and improve innovative productsResponsibilities:
Develop and optimize conversational AI models, focusing on large language models (LLMs).Implement an advanced ML/LLM Ops workflow that concentrates on creating streamlined models for edge computing and improving software engineering productivity.
Spearhead initiatives aimed at improving the performance of language models within our primary offering.Research, design, and implement machine learning algorithms and models to address business challenges and opportunities.
Collect, preprocess, and analyze large datasets to extract meaningful insights and features.
Develop and deploy scalable machine learning solutions that integrate seamlessly with existing systems and platforms.
Collaborate with software engineers, data scientists, mlops engineers and product managers to define requirements and deliver solutions that meet business objectives.
Stay current with the latest developments in machine learning and related fields, and apply cutting-edge techniques to enhance our capabilities.
Requirements:
Proficiency and professional experience in evaluating, fine-tuning, and deploying LLMs in production environments.
Comprehensive experience in the field of software engineering, showcasing robust coding proficiency and a profound curiosity for Large Language Models.
Expertise in NLP, with experience in PyTorch, TensorFlow, HuggingFace, transformers, and Python.Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field.
MLOps experience.
Experience with Large Language Models, BERT, Embeddings, and similar technologies.
Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform).Demonstrable passion for developing LLM-powered products, evidenced by commercial experience or open-source projects.
Experience deploying machine learning models in production environments.Preferred Qualifications:
Experience developing solutions for embedded devicesIf you're ready to be part of a cutting-edge team, drive innovation, and elevate user experiences, this is the place for you.
