Job
Description
As a candidate for this role, you will be responsible for driving scalable, data-driven solutions and ensuring delivery, quality, and adherence to engineering best practices. Key Responsibilities: - Lead and manage teams in Data Science, Data Engineering, and Full Stack engineering domains - Take ownership of the end-to-end Software Development Life Cycle (SDLC), system architecture, and technical delivery - Drive design, conduct code reviews, and enforce engineering best practices - Supervise the development, deployment, and performance of Machine Learning models - Develop and maintain scalable, data-driven platforms - Collaborate effectively with product, business, and stakeholder teams - Provide mentorship to senior engineers and data scientists - Ensure on-time delivery of high-quality releases and meet delivery commitments Mandatory Skills & Experience: - Possess 20 to 23 years of overall IT experience - Demonstrate strong hands-on experience in Data Science & Machine Learning (mandatory) - Proficient in Python along with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch - Have experience working with Data Pipelines, ETL processes, and tools like Spark / PySpark - Exposure to Full Stack development including: - Backend technologies: Java, .NET, Node.js, Python - Frontend technologies: Angular, React - Familiarity with Microservices architecture and APIs - Experience with Cloud platforms like AWS, Azure, or GCP - Proficiency in both SQL & NoSQL databases - Exhibit strong leadership skills, effective stakeholder management, and experience in Agile / SDLC practices Education: - B.E / B.Tech / M.E / M.Tech / MCA degree in Computer Science or a related discipline Please note that the description does not contain any additional details about the company. As a candidate for this role, you will be responsible for driving scalable, data-driven solutions and ensuring delivery, quality, and adherence to engineering best practices. Key Responsibilities: - Lead and manage teams in Data Science, Data Engineering, and Full Stack engineering domains - Take ownership of the end-to-end Software Development Life Cycle (SDLC), system architecture, and technical delivery - Drive design, conduct code reviews, and enforce engineering best practices - Supervise the development, deployment, and performance of Machine Learning models - Develop and maintain scalable, data-driven platforms - Collaborate effectively with product, business, and stakeholder teams - Provide mentorship to senior engineers and data scientists - Ensure on-time delivery of high-quality releases and meet delivery commitments Mandatory Skills & Experience: - Possess 20 to 23 years of overall IT experience - Demonstrate strong hands-on experience in Data Science & Machine Learning (mandatory) - Proficient in Python along with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch - Have experience working with Data Pipelines, ETL processes, and tools like Spark / PySpark - Exposure to Full Stack development including: - Backend technologies: Java, .NET, Node.js, Python - Frontend technologies: Angular, React - Familiarity with Microservices architecture and APIs - Experience with Cloud platforms like AWS, Azure, or GCP - Proficiency in both SQL & NoSQL databases - Exhibit strong leadership skills, effective stakeholder management, and experience in Agile / SDLC practices Education: - B.E / B.Tech / M.E / M.Tech / MCA degree in Computer Science or a related discipline Please note that the description does not contain any additional details about the company.
