Data Scientist (AI & Python)

As a Data Scientist at our company, you will be responsible for designing, developing, and deploying Machine Learning and AI models to solve business challenges. Your role will involve analyzing large and complex datasets to extract meaningful insights, building predictive models, and contributing to the organization's AI strategy. You will collaborate with cross-functional teams, evaluate model performance, and continuously improve accuracy and efficiency. Additionally, you will stay updated with emerging AI, Machine Learning, and Data Science trends and technologies. Key Responsibilities: - Design, develop, and deploy Machine Learning and AI models to solve business challenges. - Analyze large and complex datasets to extract meaningful insights and drive decision-making. - Build predictive, classification, recommendation, and forecasting models using Python. - Develop data preprocessing, feature engineering, and model optimization pipelines. - Collaborate with cross-functional teams including business stakeholders, developers, and product teams. - Evaluate model performance and continuously improve accuracy and efficiency. - Implement AI/ML best practices for scalability, reliability, and maintainability. - Create dashboards, reports, and visualizations to communicate findings effectively. - Lead technical discussions and mentor junior team members. - Stay updated with emerging AI, Machine Learning, and Data Science trends and technologies. Qualifications Required: - Strong proficiency in Python. - Hands-on experience with Artificial Intelligence (AI) and Machine Learning techniques. - Experience with ML libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras. - Strong knowledge of Statistical Analysis, Predictive Modeling, Data Mining, Feature Engineering, and Model Evaluation. - Experience with SQL and data manipulation techniques. - Knowledge of Generative AI concepts and Large Language Models (LLMs) is preferred. - Experience working with cloud platforms such as AWS, Azure, or GCP is an advantage. We are looking for a Data Scientist with 79 years of experience in Data Science, Machine Learning, AI, or related fields. The ideal candidate should have proven experience in developing and deploying production-grade AI/ML solutions and handling large-scale structured and unstructured datasets. Additionally, strong communication and stakeholder management skills, the ability to work collaboratively with cross-functional teams, and leadership mindset are essential for this role. If you have experience with Generative AI, NLP, Computer Vision, or Deep Learning projects, familiarity with MLOps practices and model deployment pipelines, and a Master's degree in data science, Computer Science, Statistics, Mathematics, or a related field, it would be considered as preferred qualifications. We are seeking a collaborative team player with leadership capabilities, a passion for solving complex business problems using data, and the ability to take ownership and drive projects from concept to deployment. As a Data Scientist at our company, you will be responsible for designing, developing, and deploying Machine Learning and AI models to solve business challenges. Your role will involve analyzing large and complex datasets to extract meaningful insights, building predictive models, and contributing to the organization's AI strategy. You will collaborate with cross-functional teams, evaluate model performance, and continuously improve accuracy and efficiency. Additionally, you will stay updated with emerging AI, Machine Learning, and Data Science trends and technologies. Key Responsibilities: - Design, develop, and deploy Machine Learning and AI models to solve business challenges. - Analyze large and complex datasets to extract meaningful insights and drive decision-making. - Build predictive, classification, recommendation, and forecasting models using Python. - Develop data preprocessing, feature engineering, and model optimization pipelines. - Collaborate with cross-functional teams including business stakeholders, developers, and product teams. - Evaluate model performance and continuously improve accuracy and efficiency. - Implement AI/ML best practices for scalability, reliability, and maintainability. - Create dashboards, reports, and visualizations to communicate findings effectively. - Lead technical discussions and mentor junior team members. - Stay updated with emerging AI, Machine Learning, and Data Science trends and technologies. Qualifications Required: - Strong proficiency in Python. - Hands-on experience with Artificial Intelligence (AI) and Machine Learning techniques. - Experience with ML libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras. - Strong knowledge of Statistical Analysis, Predictive Modeling, Data Mining, Feature Engineering, and Model Evaluation. - Experience with SQL and data manipulation techniques. - Knowledge of Generative AI conce