remote
Principal Technical ML Engineer - Intone Networks
ML Engineer
Lead end‑to‑end development of LLM‑driven features, blending deep ML expertise with production‑grade engineering to deliver scalable, customer‑centric solutions.
About the role
Key Responsibilities
- Own the design, implementation, and deployment of LLM‑driven features from prototype to production.
- Develop and maintain robust ML pipelines, ensuring reproducibility, scalability, and low latency.
- Collaborate with product and engineering teams to translate customer needs into technical specifications.
- Conduct rigorous evaluation, benchmarking, and continuous optimization of models and workflows.
- Mentor and guide junior ML engineers, fostering best practices in code quality and experimentation.
Requirements
- Extensive experience in Python and modern ML frameworks (PyTorch, TensorFlow).
- Proven track record in ML Ops: model serving, monitoring, and CI/CD for ML.
- Deep understanding of large language models, prompt engineering, and deployment strategies.
- Strong software engineering skills: clean code, version control, automated testing.
- Excellent communication and problem‑solving abilities, with a customer‑focused mindset.
Skills
pythonmachine learningllm