Machine Learning Engineer - Contracted Works

Job Advertisement: Machine Learning Engineer We are seeking a highly skilled and motivated Machine Learning Engineer with hands-on experience in the following areas to join our team: Familiarity with training Language Model (LLM) architectures to improve performance and accuracy. Proficiency in LoRA technique and its application in distributed machine learning systems. Experience training chat prompt models for generating contextually relevant and coherent responses. Knowledge of text-to-image models and their implementation in generating visual content based on textual input. Ability to write custom training scripts tailored to specific project requirements. Experience with model quantization techniques for optimizing model size and performance. Responsibilities: Develop and train Language Model (LLM) architectures to enhance performance and accuracy in language understanding and generation tasks. Utilize LoRA technique for efficient and robust communication between devices in distributed machine learning systems. Train and fine-tune chat prompt models to generate contextually relevant and coherent responses in conversational scenarios. Implement and optimize text-to-image models to generate visual content based on textual descriptions. Write custom training scripts to accommodate specific project requirements and ensure optimal model performance. Apply model quantization techniques to optimize model size and performance for deployment on resource-constrained devices. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in training Language Model architectures, preferably with hands-on experience in Transformer-based models such as GPT-3 or BERT. Familiarity with LoRA technique and its application in distributed machine learning systems. Previous experience training chat prompt models and generating conversational responses. Knowledge of text-to-image models and familiarity with popular frameworks like OpenAI's CLIP or DALL-E. Strong programming skills in Python and proficiency in machine learning libraries such as TensorFlow or PyTorch. Ability to write custom training scripts tailored to project requirements. Experience with model quantization techniques for optimizing model size and performance. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Additional Details: The position will be based on a daily rate, with the opportunity to earn a generous bonus upon achieving predefined milestones. We offer a stimulating work environment with access to cutting-edge technologies and exciting projects. This is a full-time position with potential for growth and career advancement. If you are an enthusiastic Machine Learning Engineer with hands-on experience in training Language Models, implementing LoRA technique, developing chat prompt models, working with text-to-image models, and expertise in model quantization techniques, we would love to hear from you. Please submit your application here. Note: In your application, kindly highlight your experience and accomplishments related to training Language Models, implementing LoRA technique, developing chat prompt models, working with text-to-image models, and applying model quantization techniques. We appreciate your attention to detail in addressing the mentioned requirements in the job advertisement. For the right person there will be ongoing full time work...