This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
LLM Architecture: Good understanding of the architecture underlying large language models, such as Transformer-based models and their variants. Design and implement deep learning model architectures using PyTorch
Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models on domain data
Data Preprocessing for NLP: Skilled in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding
Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs
Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics
Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment
Model Training, Optimization, and Evaluation: Evaluate the performance of PyTorch models using appropriate metrics and techniques like cross-validation, holdout sets, or online evaluation. This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, Information retrieval and extraction etc
Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools
LLM Alignment: Understanding of algorithms like DPO, PPO, KPO, RLHF and using it for guardrails
AI Data Retrieval: Data retrieval from unstructured data, extract key value pairs using techniques like donut, layoutLM, table transformers
Analyze data and build EDAs to identify data patterns
Hands-on and strong understanding of concepts in Deep Learning and NLP
Proficient in TensorFlow and similar libraries
Requirements:
5+ years of hands-on experience in developing and deploying Large Language Models, and Machine learning and working with Pytorch
A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms
Proficiency in AI technology, Python, including experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy), text classification
Experience with frameworks: PyTorch, or Tensorflow
Experience with cloud services (AWS, Azure) and ML deployment tool Docker
Familiarity with model fine-tuning and optimization techniques for LLMs
Proven track record of innovative solutions in the field of LLMs
Strong communication skills, with the ability to explain complex AI concepts to non-expert audiences
Nice to have:
4+ years' experience in data analytics, data science, quantitative analysis using statistical computer languages to draw insights from large data sets
3+ years' experience in Python development, preferably delivering production code for data applications
Experience with unstructured data or computer vision models is a plus
Experience with SQL is a big plus
Extensive model implementation experience using Scikit
Experience designing and developing for security critical applications
experience with the specifics for HIPAA/PHI/PII/GDPR a big plus
Basic experience with Linux, Git, Jupyter Notebooks is must
Knowledge of Agile development practices
Flexibility and adaptability to respond to a rapidly changing environment
Experience with distributed computational techniques and job orchestration tools and platforms is very valuable: airflow, etc
Welcome to CrawlJobs.com – Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
We use cookies to enhance your experience, analyze traffic, and serve personalized content. By clicking “Accept”, you agree to the use of cookies.