Machine Learning Engineer

RealAvatar: At RealAvatar we build verified AI Avatars in partnership with Public Figures. We are the Verified Avatar choice in a world of deepfakes poorly trained chatbots. Founded by Andrew Ng and his fund AI Fund , and led by Jeff Daniel, RealAvatar is developing quickly in this fast-paced space. Whereas 1st gen chatbot makers like Character.AI and Chai build text/audio chatbots with no visual avatar, RealAvatar builds Visual/Audio/Text Avatars for real-time conversations. Responsibilities: Partner with technical (ML/AI) and product stakeholders to design an effective multimodal AI platform (audio, video and text generation) Design and implement necessary pipeline components to enable new use cases. Develop components for a multimodal Python pipeline that involves audio, video and text generation in a low latency, streaming regime Collect and analyze datasets stored in various databases (SQL, PostgreSQL and vector datastores such as Pinecone) Requirements: Minimum of 5 years of relevant work experience Expertise in Data Pipeline Engineering: Skilled in developing and maintaining data pipelines to collect, process, and transform data; perform data manipulation and data analysis Expertise with Model Development Optimization: Adept at creating ML model prototypes (e.g. for classification), LLM workflows (e.g. using LLM agents) and/or performing model evaluation. Experience with Model Deployment Monitoring: Experience in implementing and deploying machine learning models into production, setting up robust monitoring systems to track performance and model drift. Experience with cloud computing (GCP or AWS) and data engineering Formal training in Computer Science or an Engineering discipline (Bachelor’s or Master’s) You Should Be: Eager to move fast and thrive in a dynamic startup environment and achieve excellence with minimal supervision. Be able to deliver high-quality results with a keen eye for detail Collaborative and willing to support others and enhance the collective team performance Have strong verbal and written communication skills and able to articulate technical concepts to non-technical stakeholders Excited to automate things, including testing and verification of your work. Originally posted on Himalayas