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AI / ML Engineer
Bengaluru
Job No. atci-4140927-s1606196
Full-time
Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 7 year(s) of experience is required
Educational Qualification : 15 years full time education
br/>Key Responsibilities : 1 Tracking of multiple models,experiments for auditing purpose 2 Collaborate with data scientists for hyper parameter tuning and features maintenance 3 Model management and versioning 4 Work with infra team,data scientists, business in establishing artifact lineage,model registry,governance 5 Assist in testing, automated deployment 6 A pipeline for triggering retraining to detect model drift or data drift,trigger retraining 7 Working knowledge of AWS Lambda,Sagemaker,AWS Step Functions br/>Technical Experience : 1 Creation of CI,CD Pipelines for ML algorithms,training,prediction pipelines 2 Work with business,data scientists to ensure value realization,ROI on operationalization of models 3 Containerization, packaging of ML models 4 Endpoint creation for prediction br/>Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients br/>Additional Information : 1 Monitoring of models in Production
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 7 year(s) of experience is required
Educational Qualification : 15 years full time education
br/>Key Responsibilities : 1 Tracking of multiple models,experiments for auditing purpose 2 Collaborate with data scientists for hyper parameter tuning and features maintenance 3 Model management and versioning 4 Work with infra team,data scientists, business in establishing artifact lineage,model registry,governance 5 Assist in testing, automated deployment 6 A pipeline for triggering retraining to detect model drift or data drift,trigger retraining 7 Working knowledge of AWS Lambda,Sagemaker,AWS Step Functions br/>Technical Experience : 1 Creation of CI,CD Pipelines for ML algorithms,training,prediction pipelines 2 Work with business,data scientists to ensure value realization,ROI on operationalization of models 3 Containerization, packaging of ML models 4 Endpoint creation for prediction br/>Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients br/>Additional Information : 1 Monitoring of models in Production
Qualifications
15 years full time education
Please be informed that at any given point in time, you can only have one "Active" application.
Please be informed that at any given point in time, you can only have one "Active" application.