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Client:
LanguageWire
Location:
Spain, Spain
Job Category:
Other
EU work permit required:
Yes
Job Views:
2
Posted:
25.04.2025
Expiry Date:
09.06.2025
Job Description:
The Senior Machine Learning position at Language Wire is an opportunity for anyone deeply passionate about AI/NLP and Machine Translation (MT). The role is notable for offering the chance to spearhead the development of next generation neural models, positioning an individual at the forefront of advancements in language processing technology. It involves driving initiatives that have the potential to dismantle language barriers globally, offering significant professional growth and the satisfaction of contributing to a more interconnected world. Moreover, the challenges faced in improving translation accuracy, handling diverse languages, and ensuring cultural nuance preservation make this position uniquely rewarding for those eager to innovate and excel in the dynamic field of AI/NLP and Machine Translation.
The team you’ll be a part of:
The successful candidate will join a dynamic, cross-functional team at the forefront of AI/NLP and Machine Translation, dedicated to revolutionising language services. As a Senior Machine Learning Engineer, you will collaborate closely with Full-Stack Engineers, QA Engineers, Machine Learning Engineers, Data Engineers, and the Product Manager, reporting to the ML Team Lead.
If you want to make a difference, make it with us by…
* Developing innovative next generation neural models for Machine Translation, transforming how languages are learned, processed, and understood on a global scale.
* Ensuring 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.
* Keeping abreast of the latest trends and advancements in machine learning, natural language processing, and machine translation technologies, driving innovation within the team.
* Sharing your expertise and insights through mentorship, workshops, and technical presentations, fostering a culture of knowledge sharing and continuous improvement.
In one year, you'll know you were successful if...
* You have successfully navigated through the challenges of integrating AI technologies into user-friendly products, as evidenced by positive feedback from internal and external stakeholders.
* You have established robust monitoring and prediction services that support the continuous improvement and scalability of our product offerings.
* You have introduced innovative machine translation and content generation tools that have measurably improved efficiency and customer satisfaction.
* You have cultivated a culture of excellence within your team, promoting collaboration and innovation.
* You have successfully developed a training/fine-tuning pipeline for self-hosted LLMs - both for Machine Translation (MT) & Gen AI.
Desired experience and competencies:
* Expert knowledge in Python, especially using frameworks like Huggingface Transformers, TensorFlow, or PyTorch.
* 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.
* Experience with Retrieval Augmented Generation (RAGs) and Vector DBs.
* Experience in managing and interfacing with SQL and NoSQL databases, BigQuery.
* Comprehensive knowledge of CI/CD workflows and Terraform (IaC), with a focus on LLM operations and MLOps.
* Experience with 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 skills using Git, GitHub, or Azure DevOps.
* Ability to optimize AI applications for performance, scalability, and security.
* Data visualization and BI tools: Looker, Power BI, Tableau, or similar tools.
* Monitoring and logging tools: Prometheus, Grafana, or ELK Stack for monitoring applications and infrastructure.
* Focusing on cutting-edge research, translating ideas into proof-of-concept prototypes and evolving them into minimal viable products.
This will make you stand out:
* Profound understanding of LLMs, including their intricacies and evaluation metrics.
* Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas.
* Internal development opportunities and an inclusive company culture.
* International company with over 400 employees, offices in multiple countries.
* Flexible work options tailored to how you work best.
* Social get-togethers and a fun working environment.
* Private health insurance.
* A dog-friendly atmosphere.
* Access to organic fruits, nuts, and biscuits in the kitchen.
* Social area and game room.
* Bike and car parking.
About LanguageWire:
At LanguageWire, we want to wire the world together with language. Our goal is to help people and businesses simplify communication. We are fueled by the most advanced technology (AI) and aim to make customers' lives easier by simplifying their communication with any audience across the globe.
We are curious. We are trustworthy. We are caring. We are ambitious.
We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We encourage authentic collaboration, invite feedback, and promote a positive social environment.
Working at LanguageWire — why we like it:
“We believe that we can wire the world together with language. It drives us to think big and follow ambitious goals.”
Yes, to diversity, equity & inclusion:
We believe diversity in gender, age, background, and culture is essential for our growth. We are committed to creating a culture that incorporates diverse perspectives.
Want to know more?
We can’t wait to meet you! So, why wait 'til tomorrow? Apply today!
If you want to know more about LanguageWire, we encourage you to visit our website!
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