Data Scientists

Role Overview: You will be a Data Scientist with deep expertise in modern AI/ML technologies, joining an innovative team. Your role will involve combining cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. Your main responsibility will be architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Key Responsibilities: - Design, develop, and deploy advanced machine learning and deep learning models for complex business problems - Implement and optimize Large Language Models (LLMs) and Generative AI solutions - Build agentic AI systems with autonomous decision-making capabilities - Conduct research on emerging AI technologies and their practical applications - Perform model evaluation, validation, and continuous improvement - Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP - Develop full-stack applications integrating AI models with modern web technologies - Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) - Implement CI/CD pipelines for ML model deployment and monitoring - Design and optimize cloud infrastructure for high-performance computing workloads - Design and implement data pipelines for large-scale data processing - Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) - Optimize database performance for ML workloads and real-time applications - Implement data governance and quality assurance frameworks - Handle streaming data processing and real-time analytics - Mentor junior data scientists and guide technical decision-making - Collaborate with cross-functional teams including product, engineering, and business stakeholders - Present findings and recommendations to technical and non-technical audiences - Lead proof-of-concept projects and innovation initiatives Qualification Required: - Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field - 5 years of hands-on experience in data science and machine learning - 3 years of experience with deep learning frameworks and neural networks - 2 years of experience with cloud platforms and full-stack development Additional Details of the Company: The company has locations in Chennai, Gurugram, Hyderabad, Indore, and Mumbai. Role Overview: You will be a Data Scientist with deep expertise in modern AI/ML technologies, joining an innovative team. Your role will involve combining cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. Your main responsibility will be architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Key Responsibilities: - Design, develop, and deploy advanced machine learning and deep learning models for complex business problems - Implement and optimize Large Language Models (LLMs) and Generative AI solutions - Build agentic AI systems with autonomous decision-making capabilities - Conduct research on emerging AI technologies and their practical applications - Perform model evaluation, validation, and continuous improvement - Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP - Develop full-stack applications integrating AI models with modern web technologies - Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) - Implement CI/CD pipelines for ML model deployment and monitoring - Design and optimize cloud infrastructure for high-performance computing workloads - Design and implement data pipelines for large-scale data processing - Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) - Optimize database performance for ML workloads and real-time applications - Implement data governance and quality assurance frameworks - Handle streaming data processing and real-time analytics - Mentor junior data scientists and guide technical decision-making - Collaborate with cross-functional teams including product, engineering, and business stakeholders - Present findings and recommendations to technical and non-technical audiences - Lead proof-of-concept projects and innovation initiatives Qualification Required: - Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field - 5 years of hands-on experience in data science and machine learning - 3 years of experience with deep learning frameworks and neural networks - 2 years of experience with cloud platforms and full-stack development Additional Details of the Company: The company has locations in Chennai, Gurugram, Hyderabad, Indore, and Mumbai.