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Accenturevia Indeed

Custom Software Engineer

MH, INPosted 4mo ago
NLP / LLMMid LevelFull-time#python#langchain#gpt#nlp#kubernetes#azure

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About the Role

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language), Cloud Infrastructure, Microsoft Azure Data Services, AI Agents & Workflow Integration
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Custom Software Engineer, Evaluate and select AI-based SaaS solutions, with a preference for familiarity with the UBS procurement process. Roles & Responsibilities: - Develop AI solutions using Azure AI services and OpenAI models. Preprocess data, perform feature engineering, and optimize models to enhance AI performance. Work with diverse data sources (on-premises, cloud-based, APIs) and apply advanced cleaning techniques to improve AI system reliability. Implement data governance and security controls to ensure data integrity and compliance with company policies and industry regulations. Stay up-to-date and hands-on with the latest technology developments, e.g., Azure Cloud, Data, LLMs, Agentic AI frameworks & RAG patterns. Troubleshoot and optimize AI systems, exhibiting excellent problem-solving skills. Translate business requirements into technical solutions, ensuring alignment with organizational goals. Work in an agile environment utilizing the Scrum framework. Deploy and manage scalable AI applications using Kubernetes on Azure (AKS) and Kubernetes Event-Driven Autoscaling (KEDA). Implement and manage Continuous Integration and Continuous Delivery (CI/CD) pipelines to streamline the development and deployment process. Your team In our agile operating model, crews are aligned to larger products and services fulfilling client needs and they encompass multiple autonomous (yet interlinked) pods. You will be part of the Digital Legal Solutions team which aims at creating and delivering beautiful and fluid user experience to both Group Legal employees and its business clients. You will be working with a multi-cultural, collaborative global team (covering Switzerland, US, UK, Poland, and India) working closely together to deliver seamless, global solutions for our stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), Cloud Infrastructure, Microsoft Azure Data Services, AI Agents & Workflow Integration. - Strong understanding of software development life cycle methodologies. - Experience with modern frameworks and agile practices. - Proficient in debugging and troubleshooting complex software issues. - Familiarity with version control systems such as Git. -A university degree in Computer Science or equivalent. -Proficiency in Python and/or other programming languages -Experience with Azure Services and Terraform for Infrastructure as Code (IaC). -Experience with NoSQL databases like CosmosDB, Vector Databases. -Proficient in FastAPI, Pydantic, Pandas, and generative AI frameworks such as LangChain and Langraph -Familiarity with the latest developments in AI, such as GPT-5, to leverage these technologies for data generation, transformation, and analysis. -Strong problem-solving and root cause analysis skills. Additional Information: - The candidate should have minimum 5 years of experience in Python (Programming Language). - This position is based at our Pune office. - A 15 years full time education is required. Good know-how on Agile methodology. -Experience with DevOps, Continuous Integration, and Continuous Delivery (GitLab CI/CD) -Understanding of ML Ops and responsible AI system design -Experience with Natural Language Processing (NLP) and familiarity with semantic search technology. -Experience with Kubernetes on Azure (AKS) and Kubernetes Event-Driven Autoscaling (KEDA) -Curious to learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind Curious to


15 years full time education
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