Top AWS Jobs in Pune

As a Senior Software Developer at Bloomreach, you'll develop and optimize a personalized search system and recommendations. Responsibilities include system optimization, machine learning model deployment, and collaboration across teams to enhance user experience and data-driven decision making.

The Senior MLOps Engineer will develop and maintain MLOps infrastructure for ML projects, collaborating with engineers and data scientists, and manage a team.

Develop ETL pipelines, maintain databases, and create technical documents. Collaborate on custom data models and improve data quality procedures.

As a Staff Data Engineer, you will architect and develop data ingestion and warehousing solutions, collaborating across teams to drive data-driven decision-making.

Lead the design and implementation of DevOps solutions, focusing on CI/CD pipelines and cloud resource management across multiple platforms.

We are seeking a Fullstack Developer skilled in .NET and Angular to design, develop, and maintain web applications, with mentoring responsibilities for junior team members.

Design and implement Databricks solutions, develop data pipelines, optimize performance, ensure security, and lead technical initiatives.

As a Data Architect, you will design target architecture for a Customer360 project, enhance data quality, and lead data modeling efforts to unify customer data, collaborating with various stakeholders.

As a Solutions Engineer, you'll integrate Writesonic's AI SEO solutions for enterprise clients, troubleshoot tech issues, and collaborate with product teams to improve customer experiences.

The Technical Product Manager will oversee AI product backlogs, collaborate with engineering teams, and ensure successful product delivery by utilizing strong Agile methodologies and communication skills.

The SAP BASIS Consultant will manage ECC and S/4HANA landscapes, handle system administration, performance tuning, and ensure security and backup protocols.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

The Data Engineer will lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

The Senior Python Developer - Tech Lead will lead backend initiatives, design scalable systems, mentor engineers, and ensure effective deployment and performance.

As a Senior Software Engineer, you'll design, develop, and maintain robust software systems, handle infrastructure management for data centers, and mentor team members while leading complex projects.

The Principal Engineer will design compliance features, lead technical initiatives, mentor team members, and ensure scalable and secure systems are built and maintained.

The Senior Backend Java Developer will innovate and develop mobile threat defense solutions, adhere to coding standards, and collaborate with teams to meet business needs.

As a Data Scientist, you will develop AI products by analyzing data, building predictive models, conducting A/B tests, and collaborating with cross-functional teams.

As a QA Automation Engineer, design and implement automated tests using Cypress and Playwright, ensuring product quality and guiding engineering teams on automation best practices.

Lead R&D efforts by integrating AI and low-code/no-code platforms, foster team growth, and enhance technical adoption and innovation.

Design, implement, and manage infrastructure for business applications, automate processes, and ensure system stability across environments while collaborating with cross-functional teams.

The Senior Backend Engineer develops software solutions, designs backend systems, optimizes performance, and ensures code quality to support Tala's mission.

As a Sr. Software Engineer, you will develop SaaS solutions for government agencies, leading feature development and mentoring junior engineers in an agile environment.

Design, develop, and manage data pipelines and architectures for analytics and machine learning, collaborating across teams while establishing DataOps practices.

Lead design and optimization of data pipelines, mentor engineers, ensure data quality, collaborate with teams, and drive improvements in data architecture.