1 day ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and implement AI workflow orchestration solutions using Python and Terraform.
- Collaborate with cross-functional teams to gather requirements, create technical specifications, and deliver code.
- Build and manage cloud-based infrastructure on Microsoft Azure, including Azure DevOps, Azure App Service, and Azure Functions.
- Apply DevOps practices to integrate, test, and deploy code updates using approved client tooling such as Jira, Clarity, and Rally.
- Participate in code reviews, troubleshoot technical issues, and support timely resolution of problems.
- Develop documentation covering backend architecture, APIs, and operational procedures.
- Ensure systems follow relevant data protection, privacy, regulatory, and internal policy requirements.
- Stay current with AI, analytics, and backend engineering developments.
Requirements
- Proficiency in Python and experience with Flask or FastAPI.
- Experience with machine learning and deep learning.
- Knowledge of Generative AI, OpenAI LLMs, GPT, NLP, and Transformers.
- Preferred exposure to OpenAI services in Azure.
- Experience working in a cloud environment such as Microsoft Azure.
- Proficiency with Git and knowledge of relational databases such as SQL Server.
- Familiarity with JavaScript is beneficial.
- Ability to write unit tests and use Test-Driven Development practices.
- Experience with CI/CD pipelines for automated build, testing, and deployment.
- Experience working in an Agile environment and writing clear code and API documentation.
Benefits
- Work location is Bangalore or Pune.
- Working hours are 12:30 PM to 9:30 PM IST.
- Capco offers opportunities for career growth in a low-hierarchy organization.
- The company emphasizes diversity, inclusion, creativity, and professional development.
Tech Stack
Categories
About Capco
Capco is a global technology and management consultancy focused on financial services, helping banks, capital markets, insurance, and wealth firms with digital transformation, risk and compliance, and data/AI-enabled modernization. Founded in 1998 and headquartered in London, it operates as a Wipro company. Its business model centers on project-based consulting, managed services, and solution delivery across strategy, engineering, and platforms for regulated institutions.