Responsible AI Engineer

Project Role : Responsible AI Engineer
Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : BE

Summary: As a Machine Learning Operations professional, you will be responsible for ensuring adherence to ethical and sustainable practices in AI systems. Your typical day will involve assessing AI systems for predefined thresholds and benchmarks, designing and implementing technology mitigation strategies, and ensuring ethical and responsible standards are achieved. Roles & 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 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 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 Additional Info : 1 Monitoring of models in Production