Job Summary
We are seeking a Data Scientist with 4 to 6 years of experience to join our team. The ideal candidate will have expertise in a wide range of technical skills including Knime Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization. The candidate should also
Responsibilities
Lead the development and deployment of machine learning models to solve complex business problems.Oversee the implementation of AI solutions using Azure Open AI Service and Cloud AutoML.Provide expertise in Knime for data integration and workflow automation.Conduct exploratory data analysis (EDA) to uncover insights and trends.Utilize Airflow for orchestrating complex data workflows.Implement knowledge graphs to enhance data relationships and insights.Manage ML Ops processes to ensure smooth deployment and monitoring of models.Develop and optimize machine learning algorithms using Tensorflow and PyTorch.Create and maintain AI-enabled chatbots using Dialogflow.Apply OpenCV for image processing and computer vision tasks.Leverage Natural Language Processing (NLP) techniques for text analysis and understanding.Utilize deep learning frameworks to build advanced models.Conduct statistical analysis using R Statistical Package to support data-driven decisions.Develop and maintain Python scripts for data manipulation and analysis.Implement search engine optimization (SEO) techniques to enhance data visibility.Collaborate with cross-functional teams to integrate AI solutions into business processes.Provide domain expertise in Cards & Payments and Asset & Wealth Management.Ensure data security and compliance with industry standards.Document all processes and methodologies for future reference.Stay updated with the latest advancements in AI and machine learning technologies.Mentor junior data scientists and provide technical guidance.Communicate findings and insights to stakeholders effectively.Drive innovation and continuous improvement in data science practices.Contribute to the companys mission by delivering impactful AI solutions.
Qualifications
Must have experience with Knime Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.Must have domain experience in Cards & Payments and Asset & Wealth Management.Should have strong analytical and problem-solving skills.Should have excellent communication and collaboration abilities.Should be able to work in a hybrid work model with day shifts.Should be self-motivated and able to work independently.Should have a passion for continuous learning and innovation.