The company is looking to design, develop, and deploy machine learning models for conversational AI, optimize language models, and integrate these functionalities into their product.
Requirements
- 3+ years of experience in AI/ML engineering, with a focus on NLP, LLMs, and conversational AI
- Proven track record of deploying AI models into production environments.
- Expertise in fine-tuning LLMs, including prompt engineering, optimization, and integration into real-world applications
- Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks
- Familiarity with cloud services (Azure, AWS, GCP), MLOps tools for scalable deployment, and open source LLM models
Responsibilities
- Design, develop, and deploy machine learning models for conversational AI.
- Lead the development of scalable pipelines for data ingestion, training, and real-time deployment, ensuring seamless integration into the existing tech stack
- Optimize and fine-tune language models using specific datasets for enhanced accuracy and performance
- Collaborate with full-stack engineers to integrate conversational AI functionalities into the product
- Work on end-to-end deployment of models, including monitoring and evaluating performance, troubleshooting issues, and implementing improvements
Other
- 3+ years of experience in AI/ML engineering, with a focus on NLP, LLMs, and conversational AI
- Proven track record of deploying AI models into production environments.
- Expertise in fine-tuning LLMs, including prompt engineering, optimization, and integration into real-world applications
- Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks
- Familiarity with cloud services (Azure, AWS, GCP), MLOps tools for scalable deployment, and open source LLM models
