Data Scientist - Generative AI/Classical Machine Learning

Job Description

As a Data Scientist with expertise in Machine Learning algorithms and Generative AI, you will be responsible for leading the end-to-end design, development, and deployment of predictive modeling solutions. Your role will involve utilizing your excellent programming skills in Python, including a strong working knowledge of Pythons numerical, data analysis, and AI frameworks like NumPy, Pandas, Scikit-learn, Jupyter, etc. Additionally, you will leverage your advanced SQL skills, particularly with SQL Server and Spark experience.Your key responsibilities will include:- Demonstrating knowledge of predictive/prescriptive analytics, encompassing Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks.- Applying expertise in Natural Language Processing (NLTK) and text analytics for tasks such as information extraction, parsing, and topic modeling.- Utilizing your excellent verbal and written communication skills to effectively convey complex technical concepts.- Demonstrating strong troubleshooting and problem-solving abilities, thriving in a fast-paced, innovative environment.- Utilizing data visualization tools such as PowerBI, Tableau, R Shiny, etc., for creating insightful visual representations.Qualifications required for this role:- Experience in Data science with a focus on Machine Learning algorithm and Generative AI.- Proficiency in Python programming with a strong working knowledge of relevant frameworks.- Advanced SQL skills with experience in SQL Server and Spark.- Familiarity with predictive/prescriptive analytics, including various machine learning and deep learning algorithms.- Experience with Natural Language Processing (NLTK) and text analytics.- Strong communication skills, problem-solving abilities, and adaptability in a dynamic environment.Additionally, experience with cloud platforms like Azure and AWS is preferred but not mandatory for this role. As a Data Scientist with expertise in Machine Learning algorithms and Generative AI, you will be responsible for leading the end-to-end design, development, and deployment of predictive modeling solutions. Your role will involve utilizing your excellent programming skills in Python, including a strong working knowledge of Pythons numerical, data analysis, and AI frameworks like NumPy, Pandas, Scikit-learn, Jupyter, etc. Additionally, you will leverage your advanced SQL skills, particularly with SQL Server and Spark experience.Your key responsibilities will include:- Demonstrating knowledge of predictive/prescriptive analytics, encompassing Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks.- Applying expertise in Natural Language Processing (NLTK) and text analytics for tasks such as information extraction, parsing, and topic modeling.- Utilizing your excellent verbal and written communication skills to effectively convey complex technical concepts.- Demonstrating strong troubleshooting and problem-solving abilities, thriving in a fast-paced, innovative environment.- Utilizing data visualization tools such as PowerBI, Tableau, R Shiny, etc., for creating insightful visual representations.Qualifications required for this role:- Experience in Data science with a focus on Machine Learning algorithm and Generative AI.- Proficiency in Python programming with a strong working knowledge of relevant frameworks.- Advanced SQL skills with experience in SQL Server and Spark.- Familiarity with predictive/prescriptive analytics, including various machine learning and deep learning algorithms.- Experience with Natural Language Processing (NLTK) and text analytics.- Strong communication skills, problem-solving abilities, and adaptability in a dynamic environment.Additionally, experience with cloud platforms like Azure and AWS is preferred but not mandatory for this role.

Keyskills :
Data scienceMachine LearningPythonNumPySQLSQL ServerSparkPredictive ModelingPredictive AnalyticsUnsupervised LearningDeep LearningArtificial Neural NetworksNatural Language ProcessingNLTKText AnalyticsInformation ExtractionParsingVerbal C