Job Description

bluesheets is on a mission to eliminate low-value tasks within the organization for good. We connect systems and process data in any shape and form, without the need for manual handling. We leverage the newest technologies to drive business towards 100% automation, one workflow at a time.About the roleWe are seeking a highly skilled Machine Learning Engineer with expertise in Large Language Model (LLM) training and architecture. The ideal candidate should possess a strong background in natural language processing (NLP), deep learning, and be well-versed in the development and deployment of Specialized Language Models (SLM) and Multimodal Models (MML). The successful candidate will play a pivotal role in advancing our cutting-edge language technology solutions.Key Responsibilities

• Work closely with our machine learning team to develop and implement machine learning models and algorithms to solve real-world problems.
• Collect, clean, and preprocess data for use in machine learning models, ensuring data quality and accuracy.
• Experiment with different machine learning techniques and algorithms, and evaluate their performance using appropriate metrics and evaluation methods.
• Collaborate with cross-functional teams to integrate machine learning models into existing products or systems, and iterate on model improvements based on feedback and results.
• Stay up-to-date on the latest developments and trends in machine learning and artificial intelligence, and contribute to the continuous improvement of our machine learning capabilities.
• Document and communicate your findings, insights, and recommendations to stakeholders through written reports, presentations, and data visualizations.

Qualifications:

• Currently pursuing or recently completed a degree in computer science, data science, statistics, or a related field.
• Strong understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Proficiency in programming languages commonly used in machine learning, such as Python or R.
• Experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Excellent analytical and problem-solving skills, with the ability to interpret and analyze complex datasets.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders.

Application InstructionsPlease submit your application via this form:

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