Design and develop backend APIs and services using Python frameworks. Collaborate with frontend and DevOps teams, manage database interactions, implement security standards, and support production deployments.

Design, develop, and maintain backend applications and RESTful APIs. Build integrations with third-party platforms, optimize SQL Server performance, collaborate with teams, troubleshoot issues, maintain documentation, and ensure scalability and security.

Develop backend applications, RESTful APIs, automation scripts and data-driven systems using Python. Implement business workflows, integrate third-party services, optimize application performance, maintain technical documentation and participate in Agile development processes. Ensure application security, scalability and reliability.

Build and deploy Generative AI and Machine Learning solutions for enterprise applications. Develop LLM-powered systems using RAG architectures, prompt engineering, embeddings, semantic search, vector databases, and agentic AI frameworks. Optimize models, integrate AI services with enterprise systems, and ensure scalable, secure, and responsible AI deployments across business functions.

Build and deploy machine learning models that solve business problems and improve operational efficiency. Perform data extraction, cleansing, transformation, feature engineering, and predictive modeling using structured and unstructured datasets. Develop AI/ML solutions using Scikit-learn, TensorFlow, and PyTorch while implementing NLP and Generative AI applications leveraging LLMs and prompt engineering. Create dashboards in Power BI/Tableau, automate workflows, manage end-to-end ML lifecycle, collaborate with business stakeholders, and utilize AWS/Azure/GCP cloud platforms with MLOps practices for scalable deployments.

Develop scalable cloud-native web applications using .NET 8, Python, Angular, and AWS technologies. Build APIs and microservices, manage AWS cloud services and serverless architecture, implement CI/CD pipelines, optimize application security and performance, and apply modern design patterns for enterprise application development. Collaborate with teams to deliver innovative cloud-based solutions.

Design backend systems, microservices, automation scripts, APIs and scalable server-side applications while ensuring reliability and security.

Develop AI-powered applications integrating computer vision models, frontend interfaces, backend APIs, cloud services and image analytics solutions.

Infosys is looking for a skilled Python Software Developer to build scalable backend systems, develop high-performance APIs, and optimize enterprise application workflows using Python technologies. The role includes designing server-side architectures, integrating frontend systems with backend services, developing reusable code modules, troubleshooting production issues, and implementing secure database-driven applications. Developers will collaborate with cross-functional teams to enhance application responsiveness, automate operational processes, improve data handling mechanisms, and support cloud-native application deployments across modern enterprise environments.

Role : GCP Data Engineer Location: Remote(Bengaluru, Chennai, Pune, Noida) Job type: Full time Pay : 18LPA - 22 LPA(Based on Experience) Timings : A couple of hours overlap with EST, as the client is Canada-based (till 12AM IST) Start Date : ASAP Job Description We are looking for a proactive and solution-oriented GCP Data Engineer to join our team. This role requires hands-on experience in Google Cloud Platform (GCP), especially with BigQuery and Airflow, alongside strong SQL and Python skills.