
Chief Machine Learning Systems Architect
2 days ago
We are a Series C funded startup building analytical products and solutions.
Job DescriptionAs our Lead MLOps Engineer, you will be responsible for architecting, building, and integrating end-to-end life cycles of large-scale, distributed machine learning systems using cutting-edge tools and frameworks.
Key Requirements and Qualifications- At least 3+ years of experience in implementing MLOps frameworks to scale up ML in production.
- Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
- Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.).
- Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
- Experience with GPU computing to do data and model training parallelism.
- Solid software engineering skills in developing systems for production.
- Strong expertise in Python.
- Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
As our Lead MLOps Engineer, you will have the opportunity to work on challenging projects, collaborate with a talented team, and grow your career in a fast-paced and dynamic environment.
Other OpportunitiesOur company offers a range of opportunities for professional growth and development, including training programs, mentorship, and career advancement opportunities.
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