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REQUIREMENTS : 6 - 8 Years of experience

JOB SKILLS :
1. Around 2-6 years of experience
2. Strong knowledge of classification, regression, clustering techniques using classical Algorithms and Neural Networks.
3. Experience with various ML algorithms like regression, knn, svm, decision tree, random forest, xg-boost, forecasting, RNN etc and relevant evaluation metrics.
4. Strong skill in working with packages like sklearn, keras, tensorflow, matplotlib, plotly etc
5. Experience with deployment and building MLOps pipelines to support development, experimentation, verification/validation, and monitoring of AI/ML models
6. Exposure to Mlops tools such as MLflow and TensorBoard, Kubeflow and airflow
7. Good to have experience with some Auto ML framework like DataRobot, H20 etc.
8. Good to have experience in developing CI/CD pipelines in Jenkins, developing and manging Docker containers
9. Good to have experience in data processing using technologies like Spark or Spark Streaming is a plus
10. Problem solving skills, team player, aptitude to independently learn new packages and frameworks in the ML ecosystem and create solutions around them.

JOB RESPONSIBILITIES :
• Work with the engineering teams to evaluate and design resilient, scalable, and highly available solutions for AI & ML platforms
• Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact
• Build pipelines necessary to collect and curate data for training large scale machine learning models
• Supervise the scaling and management of the machine learning lifecycle/ecosystem
• Build and maintain automation tools for deployment, monitoring, and operations.


Reference : Machine Learning Lead jobs

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Published at 19-03-2022
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