Job Title: Gen AI Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Title: AI Engineer
Location: Bangalore, Pune
Shift: 12.30 PM to 9.30 PM IST
Responsibilities
• Design and implement workflow orchestration solutions using Python, and Terraform to streamline and automate processes within the AI program. • Collaborate with cross-functional teams to gather requirements, develop technical specifications, and deliver high-quality code in an Agile environment. • Utilize DevOps best practices to continuously integrate, test, and deploy code updates, ensuring minimal downtime and maximum efficiency, using approved client strategic tooling (Jira, Clarity, Rally) in order to manage and prioritize backlog, requirements, and reporting. • Leverage Azure platform experience to build and manage cloud-based infrastructure, optimizing for cost, performance, and security, using products such as Azure DevOps, Azure App Service and Azure Functions. • Stay up-to-date with the latest industry trends and advancements in AI, analytics, and backend system engineering to ensure clients remains competitive and innovative. • Participate in code reviews and provide constructive feedback to peers, fostering a culture of continuous improvement and knowledge sharing. • Troubleshoot and resolve complex technical issues, working closely with other team members and stakeholders to ensure timely resolution and minimal impact on the AI program. • Develop and maintain comprehensive documentation for the backend systems, including architecture diagrams, API specifications, and operational guides. • Actively contribute to the ongoing improvement of client's regulatory compliance by ensuring all systems adhere to relevant data protection and privacy regulations, as well as internal policies and procedures.
Technical Knowledge • Proficient in Python • Experience with popular Python web frameworks such as Flask or FastAPI. • Experience in Machine Learning, Deep Learning • Experience/knowledge in using Generative AI /OpenAI LLMs i.e. GPT, NLP, Transformers • Exposure to OpenAI services in Azure will be preferred • Experience working in a cloud environment, such as Microsoft Azure. • Proficient using version control systems such as Git. • Knowledge of relational databases, such as SQL Server. • Familiarity with JavaScript would be beneficial. • Ability to write unit tests and conduct Test-Driven Development (TDD). • Experience working with CI/CD pipelines for automated build, testing and deployment. • Experience working in an agile environment. • Ability to write clear and comprehensive documentation for code and APIs.
If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
