We Love AI JobsAI/ML Engineer
VySystemsJoin VySystems as an AI/ML Engineer, where you'll play a crucial role in designing and optimizing AI components. You'll work with cutting-edge technologies in a collaborative environment focused on generative AI and conversational interfaces, making a significant impact on the company's product offerings.
Skills & Expertise
Key Responsibilities
Design and develop core AI and RAG components of the system.
Implement and optimize generative AI models for conversational interfaces.
Deploy and manage AI/ML workloads on Google Cloud Platform.
Full Description
Job Description:
· This role is critical for designing, developing, and optimizing the core AI and RAG components of the system.
Key Skills & Responsibilities
· Gen AI:Deep understanding of generative AI models, LLMs, and their application in conversational interfaces. Experience with fine-tuning or adapting models for specific tasks.
· LangGraph:Expertise in building agentic systems and state machines using LangGraph. Understanding of agent orchestration, managing conversational flow, and integrating various tools/models.
· Python:Strong proficiency in Python, including experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
· RAG Implementation:Experience in designing and implementing Retrieval Augmented Generation systems, including vector databases, embedding techniques, and efficient retrieval strategies.
· Cloud Platform (Google Cloud):Experience deploying and managing AI/ML workloads on Google Cloud Platform (GCP) has added advantage. Familiarity with relevant services like Vertex AI, Cloud Functions, Cloud Run, or GKE for model deployment.
· Async Programming:Have understanding or ability to write efficient asynchronous code for handling potentially long-running AI model calls and external API interactions.
· REST:Understanding of RESTful principles for integrating AI services with other parts of the system.
· Logging:Experience with implementing robust logging for monitoring AI model performance, identifying issues, and tracking usage. Familiarity with tools like Splunk is a plus