Machine Learning/NLP Engineer Lisboa

Machine Learning/NLP Engineer
Lisboa
Lisboa, Lisboa, Portugal

Lead the development of AI-driven products from concept to launch.

Remote

Full-time

All locations

On Site

Machine Learning/NLP Engineer to develop advanced NLP and ML solutions, driving
- driven decisions and business success.

Minimum Requirements

• Bachelor’s degree in computer science or a related field.
• Minimum of 2 years of experience in Natural Language Processing.
• Proficiency in programming languages such as Python, along with experience in deep learning frameworks such as Tensor
  Flow, Py
  Torch, etc.
• Strong background in machine learning, generative AI, and
  - world AI applications.
• Experience with
  - scale distributed training on GPUs or TPUs.
• Hands-on experience building and deploying NLP models in
  - world applications, including text classification, named entity recognition, and language modelling.
• Familiar with cloud platforms (e. g. , AWS, Azure, Google Cloud) and containerization technologies (e. g. , Docker, Kubernetes) for deploying NLP and machine learning solutions.
• Excellent
  - solving skills and the ability to work in a
  - paced, collaborative environment.
• Strong communication and teamwork skills.
• Good communication skills in English.

Responsibilities

• Develop and implement
  -
  -
  - art machine learning models.
• Design and build scalable and efficient data pipelines for processing and transforming large volumes of textual data, ensuring data quality and availability.
• Collaborate with
  - functional teams, including Data Scientists and Software Engineers, to integrate NLP and machine learning solutions into our products and services.
• Stay up to date with the latest advancements in NLP and machine learning research and apply best practices to improve existing models and algorithms.
• Utilize
  - based platforms and infrastructure to deploy, monitor, and maintain NLP and machine learning models in production environments.
• Conduct performance analysis and optimization of NLP and machine learning algorithms,
  - tuning models for accuracy and efficiency.
• Collaborate with stakeholders to define project requirements, objectives, and success criteria for NLP and machine learning initiatives.

We offer you a steep learning curve and further development opportunities in a flexible and positive working environment.

Modern office with amazing design furniture pieces, including a great rooftop terrace on city view.

International Team

Dynamic and international teammates great to work with,
- minded, and always there to support you. After-work events such as barbecues, excursions, and different occasions for team gathering.

Health & Sports

Fresh fruit and vegetables, professional coffee machine, and
- made smoothies every day. On-site private gym and yoga room to relax and take a break from work.