Job
Description
Role Overview: You have 3-6 years of experience as a Data Scientist with expertise in Classic Machine learning models. Your role involves GCP Deployment, Regression & Classification, and Casting Mechanism. You are proficient in Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, and Domain Knowledge. You focus on work simplification methods to maximize output while minimizing expenditure and cost. Your analytical skills help interpret data to improve business strategies. Key Responsibilities: - Apply scientific methods to analyze and solve software engineering problems - Develop and apply software engineering practices in research, design, development, and maintenance - Demonstrate original thought and judgment while supervising other software engineers - Build expertise in software engineering discipline to meet role expectations - Collaborate with team members and stakeholders to achieve project goals Qualifications Required: - Experience in Classic Machine learning models, GCP Deployment, Regression & Classification - Proficiency in Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, and Domain Knowledge - Skills in Machine Learning Techniques such as Classification, Regression, Computer vision, Neural Nets - Knowledge of Algorithms including Decision Tree, Boosting Techniques, ANN, CNN, RNN, LSTM - Technical proficiency in Tensorflow, Keras, PyTorch, OpenCV, Seaborn, Numpy, Pandas, Selenium, SQL, Git/Gitlabee, Spark, Webservices, JIRA, ScikitLearn - Expertise in Optimization techniques like Linear, Quadratic, integer, Convex, Dynamic Programming, Quasi newton Methods, Numerical methods - Familiarity with Project management tools, Documentation tools, Modeling tools - Database Skills in MsSQL, Postgres, MsAccess, GCP, Vertex AI Additional Company Details: You will be a senior software engineer at Capgemini, leading the development of tools for Data Scientist and classic machine learning. Your responsibilities include Clould machine deployment, casting mechanism, and exploring Python skills. You are expected to showcase competencies in Python, Git, and GitHub. Role Overview: You have 3-6 years of experience as a Data Scientist with expertise in Classic Machine learning models. Your role involves GCP Deployment, Regression & Classification, and Casting Mechanism. You are proficient in Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, and Domain Knowledge. You focus on work simplification methods to maximize output while minimizing expenditure and cost. Your analytical skills help interpret data to improve business strategies. Key Responsibilities: - Apply scientific methods to analyze and solve software engineering problems - Develop and apply software engineering practices in research, design, development, and maintenance - Demonstrate original thought and judgment while supervising other software engineers - Build expertise in software engineering discipline to meet role expectations - Collaborate with team members and stakeholders to achieve project goals Qualifications Required: - Experience in Classic Machine learning models, GCP Deployment, Regression & Classification - Proficiency in Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, and Domain Knowledge - Skills in Machine Learning Techniques such as Classification, Regression, Computer vision, Neural Nets - Knowledge of Algorithms including Decision Tree, Boosting Techniques, ANN, CNN, RNN, LSTM - Technical proficiency in Tensorflow, Keras, PyTorch, OpenCV, Seaborn, Numpy, Pandas, Selenium, SQL, Git/Gitlabee, Spark, Webservices, JIRA, ScikitLearn - Expertise in Optimization techniques like Linear, Quadratic, integer, Convex, Dynamic Programming, Quasi newton Methods, Numerical methods - Familiarity with Project management tools, Documentation tools, Modeling tools - Database Skills in MsSQL, Postgres, MsAccess, GCP, Vertex AI Additional Company Details: You will be a senior software engineer at Capgemini, leading the development of tools for Data Scientist and classic machine learning. Your responsibilities include Clould machine deployment, casting mechanism, and exploring Python skills. You are expected to showcase competencies in Python, Git, and GitHub.
