Job description
Join Acme AI Labs, a leading AI research and product company delivering real-world AI solutions across healthcare, finance, and enterprise software. We are hiring a Senior AI Engineer to architect, build, and scale end-to-end AI systems that unlock value for customers and users.
In this role you will collaborate with data scientists, software engineers, and product teams to design robust ML pipelines, implement efficient inference services, and ensure production readiness with monitoring and observability.
We value curiosity, collaboration, and a bias for action. If you are passionate about building reliable AI systems that scale to millions of users, we want to hear from you.
Responsibility
- Architect, implement, and optimize end-to-end AI systems, from data ingestion to live inference.
- Collaborate with data scientists, software engineers, and product teams to define success metrics and user outcomes.
- Design scalable ML pipelines, feature stores, model versioning, and data quality controls.
- Develop robust, low-latency inference services with monitoring, logging, and alerting for production reliability.
- Lead model evaluation, experimentation, A/B testing, and governance for responsible AI.
- Mentor junior engineers, participate in code reviews, and contribute to architectural decisions.
- Drive cloud-based training and deployment using AWS/GCP/Azure, containers, and CI/CD pipelines.
Qualification
- BS or MS in Computer Science, Mathematics, Data Science, or a related field; PhD preferred.
- 5+ years of hands-on AI/ML engineering experience in production environments.
- Proficiency with Python and deep learning frameworks (PyTorch or TensorFlow).
- Strong software engineering skills, including version control (Git), testing, and CI/CD.
- Experience deploying ML models to production, MLOps, model monitoring, and feature stores.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent communication and collaboration skills; ability to work with cross-functional teams.