What are the responsibilities and job description for the AI / ML Engineer position at Numentica LLC?
We’re seeking a hands-on AI/ML Engineer who thrives in ambiguity and enjoys building production ML systems from scratch. You’ll own greenfield projects end-to-end, delivering scalable models and pipelines across domains such as NLP/LLMs, time series, and recommendation systems.
What You’ll Do
Build and deploy production-grade ML systems (0→1)
Develop scalable ML pipelines, MLOps infrastructure, and internal tooling
Deploy and monitor models serving real users at scale
Work CLI-first in a fast-moving, low-process environment
Required Skills
Python (3–5 years) in production
Proven experience deploying multiple ML models to production
Cloud platforms (AWS, Azure, GCP, or OCI)
Docker & Kubernetes
SQL and NoSQL/vector databases
Bash and PowerShell scripting
Strong experience in 2–3 ML domains (NLP/LLMs, time series, recommender systems, MLOps, or distributed training)
Ideal Profile
Self-directed, fast problem solver
Comfortable with vague requirements and rapid iteration
Greenfield-focused, production-oriented, CLI-first
Nice to Have
CI/CD pipelines, computer vision, Go/Rust, model optimization, streaming data, or open-source contributions
Salary : $40