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Lead MLOps Engineer
2 weeks ago
We are Series C funded Startup building Analytical products & solutions.
Position : Lead MLOps Engineer
Work Location : Bangalore, India
Experience : 8 to 12 yrs
Education : Bachelors / Masters / PhD Degree in Computer Science/Machine Learning
Requirements :
- Atleast 3+ years of experience in implementing MLOps framework 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.
- Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
Roles and Responsibilities :
- Architect, build and integrate end-to-end life cycles of large-scale, distributed machine learning systems i.e. ML Ops using cutting-edge tools/frameworks.
- Develop tools and services for explainability of ML solutions.
- Implement distributed cloud GPU training approaches for deep learning models.
- Build software/tools that improve the rate of experimentation for the research team and extract insights from it.
- Identify and evaluate new patterns and technologies to improve the performance, maintainability, and elegance of our machine learning systems.
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