Develop and maintain backend infrastructure for generative AI, implement workflow solutions, ensure scalability, and collaborate with teams to deliver high-quality code.
Experience: 7 - 12 years
Job location: Pune
Skills required:
Gen AI
Python, Pyspark, Fast API
Prompt Engineering
RAG (Retrieval Augmented Generation)
Generative AI /OpenAI LLMs i.e. GPT, NLP, Transformers
Basics of OOPS, Design patterns, Classes, Framework, Design principles
Azure with openAI (Pref) / Any cloud AI
Stakeholder Management
NLP, Transformers
Job description
Responsibilities
- Develop and maintain the backend infrastructure for generative AI platform, ensuring optimal performance, scalability, and reliability.
- 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 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 HSBC 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 HSBC's regulatory compliance by ensuring all backend systems adhere to relevant data protection and privacy regulations, as well as internal policies and procedures.
Technical Knowledge
- Proficient in Python. Familiarity with JavaScript would be beneficial.
- Proficient using version control systems such as Git.
- Experience with popular Python web frameworks such as Flask or FastAPI.
- Knowledge of relational databases, such as SQL Server.
- Experience working in a cloud environment, such as Microsoft Azure.
- 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.
Top Skills
Azure
Azure Devops
Fast Api
Gen Ai
Git
Nlp
Pyspark
Python
SQL Server
Terraform
Transformers
Similar Jobs at Capco
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Gen AI Consultant will focus on deploying end-to-end data science solutions involving LLM, NLP, and machine learning, while managing stakeholder communications and AI best practices.
Top Skills:
AzureConfluenceDeep LearningDockerGCPGitHugging Face TransformerJIRAKubernetesLlmMachine LearningNlpPandasPrompt EngineeringPysparkPyTorchRagSQLTensorFlow
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Sr. Data Engineer will work on projects involving PySpark and Scala with a focus on data analysis and debugging. They will utilize their skills in Spark, GIT, and familiar CICD tools to manage the Big Data Application Life Cycle while ensuring efficient incident management using Control-M and Service Now.
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Gen AI Consultant will focus on deploying end-to-end data science solutions involving LLM, NLP, and machine learning, while managing stakeholder communications and AI best practices.
Top Skills:
AzureConfluenceDeep LearningDockerGCPGitHugging Face TransformerJIRAKubernetesLlmMachine LearningNlpPandasPrompt EngineeringPysparkPyTorchRagSQLTensorFlow
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
