Data Scientist - AI and Gen AI

Job Description As a Machine Learning Data Scientist at our company, your role will involve researching and developing innovative machine learning and deep learning algorithms to solve complex problems across various industries. You will be responsible for executing analytical experiments, performing data analysis, and enhancing model accuracy by utilizing algorithms and mining big data stores. Additionally, you will maintain and improve existing algorithms, define feature engineering processes, and deliver end-to-end analytical solutions. Key Responsibilities: - Research and develop innovative machine learning and deep learning algorithms - Execute analytical experiments to solve diverse challenges - Perform comprehensive data analysis and enhance model accuracy - Maintain and improve existing algorithms and deploy models in production - Define and enhance feature engineering processes - Deliver end-to-end analytical solutions supporting business operations - Drive innovation within the team - Develop frameworks for solving unstructured problems - Collaborate effectively within an Agile/Scrum methodology - Ensure high-quality delivery of models, analyses, and insights Qualifications Required: - 5-7 years of experience in Data Science, AI, or Machine Learning roles - Strong expertise in Machine Learning algorithms - Hands-on experience with Generative AI and NLP techniques - Proficiency in Python and related data science libraries - Experience with Deep Learning frameworks such as TensorFlow or PyTorch - Strong understanding of feature engineering and data preprocessing techniques - Experience with SQL/NoSQL databases and large-scale data environments - Knowledge of prompt engineering and RAG frameworks for enterprise AI applications - Strong analytical thinking, communication, and stakeholder management skills - Ability to translate business problems into scalable AI solutions No additional details of the company are mentioned in the job description. As a Machine Learning Data Scientist at our company, your role will involve researching and developing innovative machine learning and deep learning algorithms to solve complex problems across various industries. You will be responsible for executing analytical experiments, performing data analysis, and enhancing model accuracy by utilizing algorithms and mining big data stores. Additionally, you will maintain and improve existing algorithms, define feature engineering processes, and deliver end-to-end analytical solutions. Key Responsibilities: - Research and develop innovative machine learning and deep learning algorithms - Execute analytical experiments to solve diverse challenges - Perform comprehensive data analysis and enhance model accuracy - Maintain and improve existing algorithms and deploy models in production - Define and enhance feature engineering processes - Deliver end-to-end analytical solutions supporting business operations - Drive innovation within the team - Develop frameworks for solving unstructured problems - Collaborate effectively within an Agile/Scrum methodology - Ensure high-quality delivery of models, analyses, and insights Qualifications Required: - 5-7 years of experience in Data Science, AI, or Machine Learning roles - Strong expertise in Machine Learning algorithms - Hands-on experience with Generative AI and NLP techniques - Proficiency in Python and related data science libraries - Experience with Deep Learning frameworks such as TensorFlow or PyTorch - Strong understanding of feature engineering and data preprocessing techniques - Experience with SQL/NoSQL databases and large-scale data environments - Knowledge of prompt engineering and RAG frameworks for enterprise AI applications - Strong analytical thinking, communication, and stakeholder management skills - Ability to translate business problems into scalable AI solutions No additional details of the company are mentioned in the job description.