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Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Senior Machine Learning Engineer

Agency job
5 - 9 yrs
₹10L - ₹18L / yr
Bengaluru (Bangalore)
Skills
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
PyTorch
TensorFlow
skill iconPython
skill iconAmazon Web Services (AWS)
Amazon S3
AWS ECR
AWS Lambda
Spark
skill iconElastic Search
SQL

Requirements

Experience

  • 5+ years of professional 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.).
  • Having Geospatial / Remote sensing experience is a plus.
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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About Expand My Business

Founded :
2018
Type :
Products & Services
Size :
100-1000
Stage :
Profitable
About
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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