Artificial Intelligence/Machine Learning Engineer
1 week ago
Position Overview :
Key Responsibilities :
- Design, develop, and deploy conversational AI systems (chatbots, virtual assistants) that leverage LLMs to enable seamless voice interactions for banking services & Code generation and Completion including test cases.
- Develop multi modal solution architecture with Agents with bespoke models for specific use-case/scenario
- Fine-tune and optimize LLM models for specific banking tasks and user experiences.
- Implement Retrieval Augmented Generation (RAG), and embeddings to retrieve customer information through APIs
- Continuously monitor and evaluate the performance of voice-based banking solutions.
- Develop and deploy machine learning models for tasks like personalized recommendations, and customer sentiment analysis.
- Collaborate to deploy and manage models on GCP, leveraging its MLOps tools and services to streamline model development, training, and deployment.
- Develop an end-to-end architecture from training to inferencing custom models
Skills :
- Strong understanding of natural language processing (NLP) concepts and techniques, good programming skills
- Knowledge on AI/ML algorithms building NLP Applications
- Deep knowledge of LLM architectures and their applications.
- Expertise in data preprocessing, feature engineering, and model evaluation.
- Basic understanding of MLOps principles and practices.
- Excellent problem-solving and communication skills.
Experience :
years of hands-on experience in AI/ML development, with a strong focus on NLP & API Integrations
- Experience with LLM models, and fine-tuning, prompt engineering, and RAG techniques.
- Proficiency in Python is Must
- Knowledge on vector databases will be good
- Hands-On experience with frameworks TensorFlow, Pytorch, LangChain, FastAPIs, NoSQL Database
- Knowledge on GCP/MLOPs will be a plus
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