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Job Overview:
We are partnering with an innovative AI start-up seeking a Senior Machine Learning Engineer to work with the co-founders and CTO. The company is leveraging Machine Learning, Generative AI, and real-time data to build transformative solutions that drive customer engagement and growth. If you are passionate about cutting-edge technology and ambitious goals, this is an exciting opportunity to make a significant impact.
Key Responsibilities:
- Lead the end-to-end ML infrastructure, from architecture to production deployment.
- Bridge research and production, scaling ML systems that process billions of real-time data points.
- Design and implement high-performance ML pipelines to handle growing data volumes.
- Optimize model components for real-world impact, enhancing user experiences.
- Drive continuous improvements across data quality, performance, and reusability.
- Establish best practices for code quality, testing, and documentation.
- Build and maintain scalable data pipelines and APIs in a multi-disciplinary team.
Core Skills:
- Proven experience deploying ML systems in real-time, high-throughput environments.
- Expertise in Python and applied ML frameworks.
- Experience with AWS/GCP/Azure and MLOps practices (containerization, CI/CD).
- Background in distributed microservice architecture and real-time processing.
- Strong architectural decision-making balancing innovation and reliability.
- Ability to work independently and drive initiatives from concept to production.
- Curiosity to explore modern ML engineering approaches.
Desired Skills:
- Experience with LLMs, NLP, RAG systems, and vector stores.
- Background in scaling ML systems from prototype to production.
- Experience in fast-paced start-ups.
- Knowledge of ML monitoring and observability best practices.
