Machine Learning Specialist

1 day ago


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

Xensam AB seeks an exceptional AI Developer to drive innovation in machine learning and artificial intelligence. The successful candidate will be part of a dynamic team pushing the boundaries of technology.

Core Job Description:
  • Develop and refine AI models using various techniques, including supervised, unsupervised, and reinforcement learning, to tackle complex challenges.
  • Design and implement LLMs and NLP models, applying techniques like LoRA and adapters to enhance performance.
  • Prepare and optimize large-scale datasets for model training, leveraging efficient algorithms and data structures.
  • Deploy machine learning models to production environments using MLOPs, containerization tools, and cloud platforms.
  • Utilize frameworks like TensorFlow and PyTorch for neural network and ML model development, optimizing model performance and deployment.
Essential Qualifications:
  • Bachelor's or higher degree in Computer Science, Data Science, Mathematics, or a related field, providing a strong foundation in theoretical and practical aspects.
  • Deep 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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