Overview:
Machine Learning Engineer with a focus on Gen AI & LLMs, proficiency in frameworks like TensorFlow and PyTorch, and hands-on experience with LangChain. Knowledge of model performance monitoring tools, a problem-solving mindset, and strong communication skills are essential for success in this role.
Key Responsibilities:
- Lead the training, fine-tuning, and validation of Language Models (LLMs) tailored for web applications. - Deploy and optimize trained models to web-based inference endpoints, ensuring swift responses and high uptime. - Continuously monitor the real-time performance of models on the web, making necessary adjustments to maintain desired accuracy. - Stay abreast of advancements in LLMs, focusing on techniques like prompt engineering, PEFT, LORA, and SFT tailored for web contexts. - Utilize the LangChain framework for developing applications powered by language models, ensuring seamless integration with data sources and enabling the model to interact with its environment. - ·Implement and manage LangChain's modular abstractions and use-case specific chains for optimal language model application. - Uphold strict data privacy and security standards during web-based model deployments. - Collaborate with the Full Stack Development team to ensure smooth integration of models into web platforms.
Qualifications:
- Solid experience as a Machine Learning Engineer, with a focus on Gen AI & LLMs suitable for web environments. - Proficiency in prominent machine learning frameworks, notably TensorFlow and PyTorch. - Proven track record of training, fine-tuning, and deploying LLMs optimized for web platforms. - Deep comprehension of advanced techniques like prompt engineering, PEFT, LORA, and SFT in web contexts. - Hands-on expertise with the LangChain framework, including its modular abstractions and use-case specific chains for language model application. - Acquaintance with tools and practices for monitoring model performance and metrics on the web. - An innovative problem-solving mindset, combined with a flair for optimization. - Outstanding communication capabilities and a teamwork-oriented attitude
Machine Learning Engineer with a focus on Gen AI & LLMs, proficiency in frameworks like TensorFlow and PyTorch, and hands-on experience with LangChain. Knowledge of model performance monitoring tools, a problem-solving mindset, and strong communication skills are essential for success in this role.
Key Responsibilities:
- Lead the training, fine-tuning, and validation of Language Models (LLMs) tailored for web applications. - Deploy and optimize trained models to web-based inference endpoints, ensuring swift responses and high uptime. - Continuously monitor the real-time performance of models on the web, making necessary adjustments to maintain desired accuracy. - Stay abreast of advancements in LLMs, focusing on techniques like prompt engineering, PEFT, LORA, and SFT tailored for web contexts. - Utilize the LangChain framework for developing applications powered by language models, ensuring seamless integration with data sources and enabling the model to interact with its environment. - ·Implement and manage LangChain's modular abstractions and use-case specific chains for optimal language model application. - Uphold strict data privacy and security standards during web-based model deployments. - Collaborate with the Full Stack Development team to ensure smooth integration of models into web platforms.
Qualifications:
- Solid experience as a Machine Learning Engineer, with a focus on Gen AI & LLMs suitable for web environments. - Proficiency in prominent machine learning frameworks, notably TensorFlow and PyTorch. - Proven track record of training, fine-tuning, and deploying LLMs optimized for web platforms. - Deep comprehension of advanced techniques like prompt engineering, PEFT, LORA, and SFT in web contexts. - Hands-on expertise with the LangChain framework, including its modular abstractions and use-case specific chains for language model application. - Acquaintance with tools and practices for monitoring model performance and metrics on the web. - An innovative problem-solving mindset, combined with a flair for optimization. - Outstanding communication capabilities and a teamwork-oriented attitude