Top Python Developer Jobs in Delhi

The role involves designing, implementing, and scaling GenAI solutions, collaborating with teams to translate business needs into technical solutions, and ensuring high-quality code and architecture.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

As a Senior Machine Learning Engineer at MediaRadar, you will design, implement, and optimize ML solutions for data products, focusing on retrieval and relevance, model evaluation, and operational excellence.

The Technical Account Manager bridges customers with internal teams, focusing on pre-sales technical consultation, post-sales onboarding, and addressing technical issues to enhance customer experience.

The role involves designing and supporting infrastructure systems across AWS, Azure, and GCP, while enhancing developer experience and automating tasks.

The Senior Staff Engineer will lead software testing efforts, automate test cases for web applications, manage defects, and collaborate with clients to ensure quality and reliability.

Design, develop and implement front-end and back-end solutions, collaborate with project managers, ensure quality standards, and enhance existing systems.

As a Senior Data Engineer, you will monitor jobs, troubleshoot issues, support stakeholders, and develop solutions using AWS technologies.

The Senior Credit Analyst will analyze data to drive product changes, monitor credit policy, and support portfolio management to enhance profitability.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

Provide end-to-end support for customer issues, manage defect escalation, and communicate with cross-functional teams to ensure customer satisfaction.

Lead the design and implementation of GCP solutions to enhance analytics capabilities, guiding best practices in cloud architecture, security, and collaboration across teams.

Lead the development of scalable cloud services for risk insights, build APIs, establish CI/CD processes, and mentor peers.

As a Backend Engineer, you will develop and maintain core backend infrastructure, build integrations, and work closely with frontend engineers to enhance user experience.

As a Senior Backend Engineer, you will develop and maintain backend systems, collaborate with frontend teams, and leverage AI for finance solutions.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The Deep Learning Analyst engages with customers to optimize model performance, ensure successful implementations, and collaborate with Product and Engineering teams for enhancements.

The Senior Machine Learning Engineer will work on the Predictions workspace, developing predictive models for supply chain challenges and ensuring seamless user experiences through orchestrated workflows.

Lead the design, development, and deployment of complex software systems while mentoring junior engineers and ensuring software scalability and performance.

Design and build data infrastructure, develop data pipelines, optimize queries, and collaborate with stakeholders to create accessible data models.

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.