Senior Machine Learning Engineer (Remote in Portugal possible)

April 19

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LanguageWire

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One of the world’s leading Language Service Providers (LSPs), LanguageWire helps enterprises engage and communicate with any audience across the globe$1. .$1

Translation • Website translation • Proofreading • Translation management • Voice over

201 - 500

Description

• Develop innovative next generation neural models for Machine Translate, transforming how languages are learned, processed, and understood on a global scale • Ensure that our machine translation and next gen AI services are not only innovative but also reliable, scalable, available, and delivered fast to meet the demands of clients • Keep abreast of the latest trends and advancements in machine learning, natural language processing, and machine translation technologies. By engaging in ongoing research, experimentation, and adoption of novel methodologies, you will drive innovation within the team • Additionally, you will share your expertise and insights through mentorship, workshops, and technical presentations, fostering a culture of knowledge sharing and continuous improvement. Advocate for the “you build it, you run it" philosophy

Requirements

• Expert Knowledge in Python and especially using frameworks like Huggingface Transformers, TensorFlow or PyTorch, PyTorch-Lightning, Scikit-learn • Experience with neural models based on Transformer architectures • Proven experience in training sophisticated neural networks on extensive NLP datasets, harnessing the power of multiple GPUs • Proficiency in developing and fine-tuning multilingual models to handle diverse language pairs effectively • Awareness of ethical considerations and biases in machine translation systems, along with strategies to mitigate them, demonstrating a commitment to responsible AI development • Experience with Retrieval Augmented generation (RAGs) and Vector DBs • Experience and competency in managing and interfacing with SQL and NoSQL databases, e.g. BigQuery • Comprehensive knowledge of CI/CD workflows and terraform (IaC), with a specialized focus on LLM operations, MLOps • MLflow or Kubeflow: For managing the machine learning lifecycle • Containerization skills with Docker and Kubernetes • Proficiency in cloud platforms: Azure, Google Cloud, or AWS • Version Control and Collaboration - Git: For source code management. GitHub, Azure DevOps: For collaborative development and code reviews • Ability to optimize AI applications for performance, scalability, and security • Data Visualization and BI Tools: Looker, Power BI, Tableau or similar tools for data analysis and visualization • Monitoring and Logging: Prometheus, Grafana, or ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring applications and infrastructure • Focusing on cutting-edge research, translating ideas into proof-of-concept prototypes and evolving them into minimal viable products, while maintaining a collaborative mindset. This involves effective synergy with machine learning engineers, data scientists, full-stack developers, and quality assurance teams to integrate solutions smoothly

Benefits

• Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas • Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture • International company with over 400 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg, Zurich, Kiev, Gdansk, Atlanta, Finland and Valencia