LEAD NLP RESEARCH ENGINEER
- País: Bolivia
- Experiencia: +5
Descripción del cargo
Responsabilities:
- Conduct bleeding edge research in the area of deep learning
- Architect, train, deploy, evaluate, and monitor state-of-the-art, production-grade NLP algorithms/models
- Pretrain and/or finetune Large Language Models (LLMs)
- Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
- Identify relevant datasets and determine annotation needs
- Set up data-intensive pipelines
- Collaborate with cross-functional teams to identify business problems and develop AI solutions that address those problems
- Stay up-to-date with the latest technologies in NLP
- Communicate research decisions and findings and concepts to non-technical stakeholders
- Mentor junior talent
Qualifications:
- +5 years of relevant experience or combination or education, experience and training
- At least 4 years shipping ML models in production
- At least 2 years of experience using transformers and LLMs
- 3+ years of experience with a deep learning framework such as Tensorflow, Keras, or PyTorch
- Experience leading teams and mentoring junior developers
- Fluency in Python
- Experience with NLP libraries and tolls such as NLTK, SpaCy, Gensim
- Exposure to MLOps tools such as MLFlow, Argo, Kubernetes
- Familiarity with cloud-based platform such as AWS, GCP, Azure
- Experience setting up CI/CD pipelines
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Preferred Qualifications:
- Strong Deep learning background, with NLP focus
- Publication record or examples of work on open source projects
- Some experience working with devops or MLOps tools
- Experience with big data technologies such as Hadoop, Spark, or Kafka