Machine Learning Engineer
LatAm
AI Fund – RealAvatar /
Contract to hire /
Remote
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.
