Deep Learning Developer

13 hours ago


Stockholm, Stockholm, Sweden Xensam AB Full time
Job Title: AI Developer

Xensam AB is seeking a talented AI Developer to contribute to the development of cutting-edge machine learning and artificial intelligence solutions. This role offers opportunities for growth and professional development.

Main Responsibilities:
  • Develop and optimize AI models, incorporating supervised, unsupervised, and reinforcement learning techniques, to achieve superior results in complex environments.
  • Design and implement LLMs and NLP models, applying techniques like LoRA and adapters to enhance performance and efficiency.
  • Process and engineer features for large-scale datasets, utilizing efficient algorithms and data structures for readiness in model training.
  • Deploy machine learning models to production environments using MLOPs, containerization tools, and cloud platforms, ensuring seamless integration and scalability.
  • Utilize frameworks like TensorFlow and PyTorch for neural network and ML model development, optimizing model performance and deployment.
Required Skills and Qualifications:
  • Bachelor's or higher degree in Computer Science, Data Science, Mathematics, or a related field, providing a solid foundation in theoretical concepts and practical applications.
  • Strong understanding of data structures, algorithms, and statistical methods, enabling effective data analysis and modeling.
  • Proficiency in Python, with experience in NN and ML frameworks like TensorFlow and PyTorch, facilitating efficient model development and deployment.
  • Experience in deploying machine learning models into production environments using MLOPs best practices, ensuring seamless integration and scalability.
  • Familiarity with containerization tools and cloud platforms, enabling flexible deployment options.
  • Expertise in preprocessing large datasets and performing feature engineering for LLM training, resulting in improved model accuracy and efficiency.
  • Experience in training and fine-tuning LLMs and NLP models, leveraging advanced techniques and strategies for optimal performance.
  • Familiarity with Git, CI/CD pipelines, and effective collaboration within multidisciplinary teams, communicating technical concepts clearly and efficiently.
  • Familiarity with Agile methodologies and experience working in an Agile team, embracing flexibility and continuous improvement.


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