Madfish
Department/Project Description:
We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting‑edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM‑based chatbots.
Job Description: Required:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
+7 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
Participate in pre‑sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
Excellent problem‑solving skills and the ability to work in a fast‑paced, collaborative environment.
Preferred:
Knowledge of front‑end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
Certifications or advanced training in machine learning, cloud architectures, or similar fields.
Active participation in relevant tech communities or contributions to open‑source projects in the ML/NLP domain.
Job Responsibilities
Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
Collaborate with cross‑functional teams to integrate chatbot solutions into existing platforms and workflows.
Optimize and fine‑tune LLMs for performance, accuracy, and user engagement.
Build and optimized RAG and vectorized databases.
Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
Stay up‑to‑date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting‑edge.
Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
Work with data engineers to ensure the availability and quality of data for training and fine‑tuning models.
Implement security measures to protect sensitive information processed by chatbots.
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Job Description: Required:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
+7 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
Participate in pre‑sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
Excellent problem‑solving skills and the ability to work in a fast‑paced, collaborative environment.
Preferred:
Knowledge of front‑end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
Certifications or advanced training in machine learning, cloud architectures, or similar fields.
Active participation in relevant tech communities or contributions to open‑source projects in the ML/NLP domain.
Job Responsibilities
Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
Collaborate with cross‑functional teams to integrate chatbot solutions into existing platforms and workflows.
Optimize and fine‑tune LLMs for performance, accuracy, and user engagement.
Build and optimized RAG and vectorized databases.
Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
Stay up‑to‑date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting‑edge.
Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
Work with data engineers to ensure the availability and quality of data for training and fine‑tuning models.
Implement security measures to protect sensitive information processed by chatbots.
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