Top Tech Jobs & Startup Jobs in Chennai
Manage and maintain the learning management system (LMS), ensuring its proper functioning and support for users. Assist in training users and troubleshooting issues related to the LMS. Coordinate content uploads, user access, and reporting on LMS performance.
The MLOps Engineer will oversee the deployment of machine learning models into production, ensuring their scalability, maintenance, and integration. Responsibilities include building data pipelines, monitoring model performance, managing model versioning, collaborating with data scientists and engineers, and optimizing infrastructure while ensuring compliance with data protection regulations.
The Sr. Java Developer designs, documents, and writes high-quality code for moderately complex features and projects. They also conduct testing, manage production incidents, reduce technical debt, and collaborate with stakeholders on system designs while improving the performance of existing software.
The Principal Data Scientist will lead the development and implementation of advanced data science models, drive innovation in analytics, and mentor junior team members. Responsibilities include collaborative work with cross-functional teams, conducting data analysis, ensuring model performance, and managing data science projects from inception to completion.
The ML Engineer will conceptualize and implement ML models for dynamic pricing and personalized recommendations, develop large-scale data pipelines, and collaborate with cross-functional teams to deliver impactful solutions. Responsibilities also include creating algorithms for optimizing consumer journeys and conducting controlled experiments to validate effectiveness.
The GCP Data Engineer will work remotely as part of a full-time team, focusing on utilizing GCP technologies like Big Query and Data Flow to manage and optimize data processes.
The role involves collaborating with data scientists and machine learning engineers to build backend systems and APIs for machine learning models, ensuring optimal infrastructure, and maintaining CI/CD pipelines. Candidates should have strong experience in Java or Python and familiarity with microservices and databases.
The Senior Engineering Manager is responsible for leading engineering teams, setting technical direction, and ensuring successful project delivery. They will manage team performance, mentor engineers, and collaborate with other departments to achieve strategic goals.
The Data Analytics Lead will oversee data analysis projects, manage analytics teams, and provide insights to improve business strategies.
We are seeking a Data Analytics Engineer to assist in data collection, analysis, and reporting. Responsibilities include developing data models, creating dashboards, and collaborating with cross-functional teams to improve data-driven decisions.
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