Source description
About the role
Role : Data Scientist - AL/ ML - Gen AI Location : Hyderabad Fulltime : Permanent Work From Office - (5 Days a week) Overview : We are hire a talented Data Scientist with 5 to 8 years of experience to join our team and develop high-impact, scalable predictive analytics solutions. You will leverage advanced Gen AI, AI/ML to build solutions, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our clients. Responsibilities : - Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions. - Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces. - Analyze structured and unstructured data to identify trends, patterns, and actionable business insights. - Perform data preprocessing, feature engineering, model development, deployment and model evaluation - Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability. - Develop APIs and services for model deployment and integration with enterprise systems. - Ensure data quality, governance, security, and compliance throughout the analytics lifecycle. - Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate. Experience & Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. - 5 to 8 years of hands-on experience in Data Science, Machine Learning, Predictive Analytics - Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and related frameworks. - Solid understanding of statistics, probability theory, hypothesis testing, regression analysis, sampling techniques, and experimental design to support data-driven decision making. - Apply statistical and machine learning techniques to analyze large datasets, identify patterns, build predictive models, and generate actionable business insights. - Experience with Generative AI technologies, Large Language Models (LLMs) - Experience working with SQL and NoSQL databases, data warehouses, and big data technologies. - Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes. - Experience in building REST APIs and integrating AI models into production environments. - Strong understanding of statistics, machine learning algorithms, forecasting techniques, and optimization methods. - Excellent analytical, problem-solving, and communication skills with the ability to work in cross-functional teams. Preferred Qualifications : - Experience using graph technologies such as Neo4j and graph data modeling for fraud detection, relationship analysis, or customer intelligence. - Familiarity with data governance, and data quality frameworks. - Exposure to statistical methods and techniques for entity matching and identity resolution. Role : Data Scientist - AL/ ML - Gen AI Location : Hyderabad Fulltime : Permanent Work From Office - (5 Days a week) Overview : We are hire a talented Data Scientist with 5 to 8 years of experience to join our team and develop high-impact, scalable predictive analytics solutions. You will leverage advanced Gen AI, AI/ML to build solutions, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our clients. Responsibilities : - Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions. - Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces. - Analyze structured and unstructured data to identify trends, patterns, and actionable business insights. - Perform data preprocessing, feature engineering, model development, deployment and model evaluation - Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability. - Develop APIs and services for model deployment and integration with enterprise systems. - Ensure data quality, governance, security, and compliance throughout the analytics lifecycle. - Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate. Experience & Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. - 5 to 8 years of hands-on experience in Data Science, Machine Learning, Predictive Analytics - Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pa