Candidate must have at least 7 years of experience on Python, JavaScript (ReactJs), SDLC and Object-Oriented Methodology. Experience working within Hadoop ecosystem is a plus
Job Description
Required Skills
Provisioning all the necessary Global Markets data needed for the strategic Finance Regulatory Platform
Must have knowledge and experience working with financial instruments, required to deliver critical business initiatives related to Financial Regulatory Reporting (FRR).
Candidate must have at least 7 years of experience on Python, JavaScript (ReactJs), SDLC and Object-Oriented Methodology. Experience working within Hadoop ecosystem is a plus
Full stack developer with ability to quickly adapt to changing business needs and regulatory priorities.
Experience with Big Data is a plus, must be flexible to take up either Frontend or Backend work.
Specializes in retrieval-augmented generation architecture — building the search, indexing, and retrieval layer that grounds LLM outputs in accurate, up-to-date information.
Works on pretraining and post-training of foundation models — architecture experiments, training efficiency, alignment techniques (RLHF, DPO), and scaling research, often in collaboration with research scientists.
Owns model development, training, and quality — building and improving the ML models (not just LLM wrappers) that power a product, from data pipeline to production deployment.
Owns the compute infrastructure that trains and serves AI models — GPU cluster management, distributed training pipelines, and inference serving at scale. A natural pivot for DevOps/backend infra engineers.
