Senior Artificial Intelligence Developer

1 week ago

bangalore, India beBeeMachineLearning Full time

Job DescriptionWe are seeking an expert to craft innovative, data-driven artificial intelligence systems that propel our predictive automation capabilities forward. The ideal candidate should possess a deep understanding of statistics and programming, with the ability to assess, analyze, and organize large datasets confidently. Additionally, they should be able to execute tests and optimize machine-learning models and algorithms effectively.The successful candidate will have a strong background in machine learning, data science, and software development, and will collaborate closely with our product, data science, and engineering teams to develop, deploy, and maintain machine learning models that drive our vision.Required Skills and QualificationsDesigning, developing, testing, and deploying machine learning models for various applicationsCollaborating with data scientists, software engineers, and product managers to develop data-driven featuresOptimizing and improving the performance of existing machine learning modelsImplementing and maintaining scalable machine learning pipelines and infrastructureAnalyzing and preprocessing large datasets to extract valuable insights and featuresStaying updated with the latest developments in machine learning, deep learning, and related technologiesConducting model training, validation, and performance evaluation to ensure models meet the required accuracy and reliabilityCreating and maintaining documentation related to machine learning models, algorithms, and processesDeveloping A/B testing frameworks and managing the deployment of models in productionBenefitsThis role offers opportunities for growth and development in a collaborative environment. We value effective communication and teamwork, and the ideal candidate will be able to work closely with cross-functional teams.OthersNice-to-Have:Knowledge of natural language processing (NLP) and its applicationsExperience with MLOps tools and best practices for scalable model deployment and monitoringFamiliarity with data privacy and security regulationsExperience with real-time data processing and streaming technologiesExperience with reinforcement learning, generative models, or unsupervised learning techniques

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