Top Python Jobs in Bengaluru

The MLOps Engineer will design and manage scalable AWS infrastructure for MLOps workflows, implement IaC with tools like Terraform, maintain CI/CD pipelines, set up monitoring with tools like Prometheus and Grafana, develop ML model pipelines, and optimize resource allocation. This role requires collaboration with Data Scientists to enhance the ML delivery pipeline.

The ML Platform Engineer will develop scalable ML model pipelines, collaborate with data scientists, maintain training datasets, and enhance automation for the ML lifecycle using tools like Databricks and AWS.

As a Senior DevOps Engineer, you will build and manage the infrastructure for DataRobot's AI SaaS platform, focusing on Kubernetes implementation, automation, and collaboration with internal teams to enhance their experiences. You will also design new features, monitor platform performance, and engage in strategic roadmap initiatives.

As a Sr Database Engineer, you will oversee MySQL and Oracle databases, ensuring high availability, optimal configurations, and effective management. Collaborate with stakeholders and a distributed team to analyze and resolve issues, automate tasks, and maintain documentation. Participate in regular maintenance and provide technical guidance while continuously improving database performance and security for enterprise applications.

As a Senior Data/Software Engineer, you will own the Performance Management Tool (PMT) suite, define its technical roadmap, build relationships with internal customers, and support platform maintenance and feature development across teams.

The Sr. Software Engineer will design and develop Linux services and automation behaviors, create new features, and collaborate on product improvements. Responsibilities include developing monitoring plans and delivering impactful improvements in a fast-paced environment.

As an Operational Engineer Sr at CSG, you will contribute to the DevOps pipeline, implementing CI/CD tools, enhancing system performance, and collaborating with team members to improve engineering tools and data security. You will lead projects to enhance deployment and support processes.

The role involves developing AI and ML related software, participating in system design and innovation, mentoring junior colleagues, and maintaining high coding standards using Python. Responsibilities include agile development, quality delivery, and addressing software defects.

As a Manager for the Web Platform and Client Applications, you will oversee the design and implementation of innovative web applications, collaborate with cross-functional teams, mentor junior developers, and enhance software delivery processes. Your role includes strategic risk management, research of emerging tech, and leading the development of high-performance teams.

Lead and conduct research in Generative AI focusing on natural language understanding and dialogue generation. Develop algorithms and large-scale deep learning models for conversational AI, collaborate with teams, and mentor junior staff. Stay updated with advancements in Generative AI technology.

As a Senior Machine Learning Engineer at Zoom, you will develop and deploy ML models, build APIs, mentor team members, and enhance the ML ecosystem. Your work will directly impact sales and customer satisfaction. The role requires strong coding skills, expertise in ML algorithms, and cloud technologies, as well as leadership and collaboration in a hybrid work environment.

The Solutions Architect is responsible for market research of cloud infrastructure solutions, developing assessment frameworks, and creating operational strategies for deployments. This role involves engaging with customers, mentoring a team, and working closely with sales and delivery organizations to refine solutions and facilitate successful implementations.

The Solutions Architect will conduct market research, establish solution offerings, engage with customers to refine those solutions, mentor a cloud technologist team, and collaborate with sales and delivery teams. They should have extensive experience in cloud infrastructure technologies and have delivered migration projects for enterprise clients.

The Principal Architect will be responsible for conducting market research on cloud infrastructure solutions, engaging with technology partners, and developing frameworks for deployment and operationalization. The role includes mentorship of cloud technologists, project management, and continuous engagement with customer stakeholders and delivery teams to improve solutions.

The Consultant will work with architects on cloud transformation solutions for enterprises, engage with client stakeholders, build demo labs, provide specialist support, and participate in pre-sales activities. The role requires expertise in cloud infrastructure and deployment management.

The Senior Consultant in AI & Automation will assess customer infrastructure to identify process gaps, design and implement automation solutions, and integrate AI capabilities. Responsibilities include developing machine learning models, collaborating with IT teams for automation opportunities, enhancing internal tools, and training team members in automation processes and technologies.

This role involves assessing customer infrastructure, developing automation solutions, training machine learning models, and integrating AI capabilities into workflows. You will work with large datasets, identify automation opportunities, and contribute to external application development. The position requires collaboration with IT teams and the ability to document processes and troubleshoot automation systems.