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Citco

Global administrator and adviser for funds

AI/ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • Around 3 years of hands-on experience in AI/ML engineering, including exposure to real-time, production-grade projects rather than only proof-of-concept work.
  • Strong hands-on experience with Amazon SageMaker and AWS cloud services, including S3, Lambda, EC2, ECS/EKS, IAM, CloudWatch, API Gateway, and Step Functions.
  • Strong Python skills and experience with machine-learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
  • Practical experience with large language models and generative AI tooling, including Amazon Bedrock, Hugging Face, and LangChain or LlamaIndex.
  • Experience building retrieval-augmented generation solutions using vector databases such as OpenSearch, FAISS, or Pinecone.
  • Experience with REST APIs and SQL/NoSQL databases such as RDS and DynamoDB.
  • Familiarity with Docker, Git, and CI/CD pipelines such as CodePipeline or GitHub Actions.
  • Demonstrated proficiency in oral and written English.
  • Ability to adapt to new technologies and learn quickly.
  • Ability to perform several roles in a fast-paced, complex IT environment.

Responsibilities

  • Design, develop, enhance, and maintain generative AI and machine-learning applications and pipelines.
  • Build, train, tune, and deploy models using Amazon SageMaker Training Jobs, Pipelines, and real-time and batch endpoints.
  • Develop generative AI solutions, including large-language-model-based applications, retrieval-augmented generation pipelines, copilots, and document intelligence using AWS services such as Bedrock and SageMaker JumpStart.
  • Troubleshoot and resolve model performance, latency, and accuracy issues.
  • Maintain knowledge of design patterns and MLOps best practices, as well as technical enhancements and emerging generative AI and machine-learning technologies.
  • Learn, adapt, test, evaluate, and implement new tools and technologies in the AI/ML space.
  • Communicate AI solution outcomes to business and Product Management teams, and communicate with peers and leads.
  • Coordinate with the DevOps team to push model and infrastructure changes through SageMaker and AWS CI/CD to higher environments.
  • Provide technical documentation for models, pipelines, and deployed solutions.
  • Maintain understanding of CI/CD integration for machine-learning workflows.
  • Participate and contribute to team activities, including sprint planning, daily scrums, and retrospectives.

Desired Qualifications

  • BFSI domain experience in banking, financial services, insurance, fund administration, or capital markets.
  • AWS certifications such as AWS Certified Machine Learning – Specialty or Solutions Architect Associate.

About the Company

Citco

Global administrator and adviser for funds

Citco provides professional financial services for the alternative investment industry and related areas, including fund administration, fund accounting, NAV calculations, investor relations, governance services, and banking and custody. It delivers these services through a global network and proprietary technology across divisions such as Citco Fund Services & Investor Relations, Governance Services, Banking, Depositary & Custody, and Citco Technology Management. Citco differentiates itself by its size, long heritage, global coverage, and in-house technology development that supports secure, scalable administration. Its goal is to be a trusted advisor and the leading service provider in financial and professional services, helping clients navigate markets and make informed decisions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Cayman Islands
Founded
1998

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